Exterior Orientation Parameters Research Articles

Design of Exterior Orientation Parameters Variation Real-Time Monitoring System in Remote Sensing Cameras

The positional accuracy of satellite imagery is essential for remote sensing cameras. However, vibrations and temperature changes during launch and operation can alter the exterior orientation parameters of remote sensing cameras, significantly reducing image positional accuracy. To address this issue, this article proposes an exterior orientation parameter variation real-time monitoring system (EOPV-RTMS). This system employs lasers to establish a full-link active optical monitoring path, which is free from time and space constraints. By simultaneously receiving star and laser signals with the star tracker, the system monitors changes in the exterior orientation parameters of the remote sensing camera in real time. Based on the in-orbit calibration geometric model, a new theoretical model and process for the calibration of exterior orientation parameters are proposed, and the accuracy and effectiveness of the system design are verified by ground experiments. The results indicate that, under the condition of a centroid extraction error of 0.1 pixel for the star tracker, the EOPV-RTMS achieves a measurement accuracy of up to 0.6″(3σ) for a single image. Displacement variation experiments validate that the measurement error of the system deviates by at most 0.05″ from the theoretical calculation results. The proposed EOPV-RTMS provides a new design solution for improving in-orbit calibration technology and image positional accuracy.

A Linear Regression Approach for Best Scanline Determination in the Object to Image Space Transformation Using Pushbroom Images.

The use of linear array pushbroom images presents a new challenge in photogrammetric applications when it comes to transforming object coordinates to image coordinates. To address this issue, the Best Scanline Search/Determination (BSS/BSD) field focuses on obtaining the Exterior Orientation Parameters (EOPs) of each individual scanline. Current solutions are often impractical for real-time tasks due to their high time requirements and complexities. This is because they are based on the Collinearity Equation (CE) in an iterative procedure for each ground point. This study aims to develop a novel BSD framework that does not need repetitive usage of the CE with a lower computational complexity. The Linear Regression Model (LRM) forms the basis of the proposed BSD approach and uses Simulated Control Points (SCOPs) and Simulated Check Points (SCPs). The proposed method is comprised of two main steps: the training phase and the test phase. The SCOPs are used to calculate the unknown parameters of the LR model during the training phase. Then, the SCPs are used to evaluate the accuracy and execution time of the method through the test phase. The evaluation of the proposed method was conducted using ten various pushbroom images, 5 million SCPs, and a limited number of SCOPs. The Root Mean Square Error (RMSE) was found to be in the order of ten to the power of negative nine (pixel), indicating very high accuracy. Furthermore, the proposed approach is more robust than the previous well-known BSS/BSD methods when handling various pushbroom images, making it suitable for practical and real-time applications due to its high speed, which only requires 2-3 s of time.

Best Scanline Determination of Pushbroom Images for a Direct Object to Image Space Transformation Using Multilayer Perceptron

Working with pushbroom imagery in photogrammetry and remote sensing presents a fundamental challenge in object-to-image space transformation. For this transformation, accurate estimation of Exterior Orientation Parameters (EOPs) for each scanline is required. To tackle this challenge, Best Scanline Search or Determination (BSS/BSD) methods have been developed. However, the current BSS/BSD methods are not efficient for real-time applications due to their complex procedures and interpolations. This paper introduces a new non-iterative BSD method specifically designed for line-type pushbroom images. The method involves simulating a pair of sets of points, Simulated Control Points (SCOPs), and Simulated Check Points (SCPs), to train and test a Multilayer Perceptron (MLP) model. The model establishes a strong relationship between object and image spaces, enabling a direct transformation and determination of best scanlines. This proposed method does not rely on the Collinearity Equation (CE) or iterative search. After training, the MLP model is applied to the SCPs for accuracy assessment. The proposed method is tested on ten images with diverse landscapes captured by eight sensors, exploiting five million SCPs per image for statistical assessments. The Root Mean Square Error (RMSE) values range between 0.001 and 0.015 pixels across ten images, demonstrating the capability of achieving the desired sub-pixel accuracy within a few seconds. The proposed method is compared with conventional and state-of-the-art BSS/BSD methods, indicating its higher applicability regarding accuracy and computational efficiency. These results position the proposed BSD method as a practical solution for transforming object-to-image space, especially for real-time applications.

Характеристика помісей першого покоління, отриманих від реципрокного схрещування плідників нивківської заводської лінії малолускатого та антонінсько-зозуленецького внутрішньопородних типів української рамчастої породи коропа

Purpose. In fish farming, the use of purebred reproduction and crossbreeding is used to increase productivity, improve quality, or preserve genetic diversity. These methods play an important role in the improvement of breeds and contribute to the development of aquaculture as one of the leading branches of agriculture. The main goal of our scientific work was to determine a set of productive and biological parameters of the offspring obtained by combining the Nyvky few-scaled and the Antoniny-Zozulenets type of the Ukrainian framed breed of carp in comparison with the parental forms. Methodology. Experiments were conducted at the PrJSC “Khmelnytskrybhosp”. Control groups were obtained using purebred crossing, experimental groups - using their crossbreeds. Comparative analysis between the control and experimental groups was carried out by conducting scientific and economic experiments. The breeding stock of the original parental forms was evaluated according to the exterior and fertility parameters. The study of productive and biological parameters was carried out in accordance with the methods common in fish farming and ichthyology, which are used in international practice. Pituitary injections were used to reproduce the selected individuals. Eggs and sperm were obtained from first spawn age-4-5 females and males. Spawning was carried out in the conditions of the hatchery of the Medzhibyzh fish farm. Each individual was tagged and given an individual fifteen-digit electronic number. The juveniles of the experimental and control groups were reared in 0.25 ha ponds of the wintering system, which were treated with quicklime in the amount of 150 kg/ha before stocking. Ponds were stocked with three-day-old larvae that switched to exogenous nutrition at a stocking density of 100,000 ind./ha. Feeding was carried out with high-protein feeds in accordance with the feeding schedule with adjustments of the daily rate depending on water. Test catches were carried out in the first half of each month. The minimum sample in each group was at least 25 ind. Productive, biological and exterior parameters were subjected to statistical processing using the ANOVA statistical package in Microsoft Office Excel (2016). The criteria for the analysis of values were their average value, the standard error (M±m) and power. Findings. Fish selected for the study met the morphometric requirements for brood fish of the second class according to phenotypic parameters. During the incubation campaign, the highest total fecundity were obtained in the group of Antoniny - Zozulenets framed carp females. The total weight of the obtained eggs was 13.2-19.6% of body weight. The percentage of hatching of 3-day-old larvae from fertilized eggs was in the range of 87.62-90.48% with a slight advantage in crossbred groups. Based on the results of the incubation campaign of 2023, control and experimental groups of 25,000 ind. were formed. The initial larvae weight during stocking was 1.82-1.86 mg, starting from June, the superiority in terms of average weight was observed in crossbred forms, which increased until the end of the growing season. A statistically significant difference in the weight of young-of-the-years was only between purebred crossings and crossbred combinations at td = 2.68 р ≤ 0.05. As a result of the cultivation of different groups of young-of-the-years, the best values were obtained in the crossbred groups ♀ AZRK ×♂ NMK and ♀ NMK ×♂ AZRK, the average weight of which at the end of the growing season was 56.21 ± 0.30 g and 56.24 ± 1.18 g, respectively, with fish productivity of 2,144 kg/ha and 2,135 kg/ha. Originality. For the first time, the productive and biological parameters of crosses of few-scaled Nyvky and framed Antoniny-Zozulenets carps were obtained and studied for the use of their reciprocal crossing, and the value of the obtained heterosis index was determined. Practical value. The practical value of the results of our study lies in the determination of the efficiency of rearing young-of-the-years of individual intrabreed types of the Ukrainian framed breed of carp in comparison with the original forms. Key words: Selective breeding, crossbreeding, few-scaled Nyvky inbred type of the Ukrainian carp breed, Antoniny-Zozulenets inbred type of the Ukrainian framed carp breed.

Характеристика маточного стада несвицького внутрішньопородного типу українських рамчастої та лускатої порід коропа за комплексом продуктивних та репродуктивних показників

Purpose. To provide an assessment of the complex of productive and reproductive parameters of the brood stock of the Nesvych intrabreed type of Ukrainian framed and scaly breeds of carp grown in pond conditions of the Polissia zone. Methodology. The study was conducted at fish farms of Lviv and Volyn regions of Ukraine during 2004-2024. The material for the study was sexually mature carps of the Nesvych type of different ages. The main fish productive and biological parameters were studied during spring valuation according to generally accepted methods in fish farming. Exterior evaluation was carried out according to weight and the main parameters of body structure. Measurements were made with a centimeter tape with an accuracy of 1 mm. Individual weighing of older age groups was carried out on electronic scales PROK VT-150-R1, juveniles - TS-500. Based on the results of the measurements, the main exterior parameters were analyzed and determined — girth, body length to height ratio, head length. The ejaculate volume was determined using an Eppendorf pipette-dispenser with an accuracy of 0.1 cm3. Sperm movement activity was determined using a Zeiss Axiostar plus microscope with a 20x/0.40 phase-contrast objective. The number of spermatozoa in cm3 was calculated using a Macler camera. Calculation of the absolute working fertility was carried out by the weight method, with the calculation of the number of eggs in 1 g and the subsequent determination of the weight of 1 egg. Relative working fertility was defined as the ratio of working fertility to body weight. Findings. The study showed that carps of the Nesvych intrabreed type had exterior parametetrs typical for Ukrainian carp breeds. At the same time, the working fertility of first-time spawning females was in the range of 328.1 - 522.7 thousand eggs, age 6-8 females - 645.7 - 1178.3 thousand eggs, older age groups - 536.2 – 1014.0 thousand eggs. With the average ejaculate volume of 7.6 – 8.3 cm3 in first-spawning males and re-spawning ones 14.9 – 21.3 cm3, active movement of spermatozoa after their activation was observed: 33.1 – 48.6 s and 56.3 - 59.3 s, respectively. At the same time, the working fertility of males was 90.1 - 443.2 billion spermatozoa. The positive response of female Nesvych carp to pituitary stimulation exceeded 95%. Originality. The results of 20 years of selective-breeding work with a representative of aquaculture in the western region of Ukraine are highlighted. In particular, weight dynamics, main exterior and reproductive parameters of brood fish of different ages of brood carp stock of Nesvych intrabreed type of Ukrainian framed and scaly breeds, which were presented and successfully passed the state approval in 2023, are summarized. Practical value. High fish productive and biological parameters of broodstocks of the Nesvych inbred type allow recommending them for use for the purpose of commercial cultivation. Key words: Nesvych carp, intrabreed type, brood stock, exterior, weight, age groups, condition factor fertility, ejaculate volume.

Exterior Orientation Parameter Refinement of the First Chinese Airborne Three-Line Scanner Mapping System AMS-3000

The exterior orientation parameters (EOPs) provided by the self-developed position and orientation system (POS) of the first Chinese airborne three-line scanner mapping system, AMS-3000, are impacted by jitter, resulting in waveform distortions in rectified images. This study introduces a Gaussian Markov EOP refinement method enhanced by cubic spline interpolation to mitigate stochastic jitter errors. Our method first projects tri-view images onto a mean elevation plane using POS-provided EOPs to generate Level 1 images for dense matching. Matched points are then back-projected to the original Level 0 images for the bundle adjustment based on the Gaussian Markov model. Finally, cubic spline interpolation is employed to obtain EOPs for lines without observations. Experimental comparisons with the piecewise polynomial model (PPM) and Lagrange interpolation model (LIM) demonstrate that our method outperformed these models in terms of geo-referencing accuracy, EOP refinement metric, and visual performance. Specifically, the line fitting accuracies of four linear features on Level 1 images were evaluated to assess EOP refinement performance. The refinement performance of our method showed improvements of 50%, 45.1%, 29.9%, and 44.6% over the LIM, and 12.9%, 69.2%, 69.6%, and 49.3% over the PPM. Additionally, our method exhibited the best visual performance on these linear features.

Photogrammetric Measurement of Grassland Fire Spread: Techniques and Challenges with Low-Cost Unmanned Aerial Vehicles

The spread of natural fires is a complex issue, as its mathematical modeling needs to consider many parameters. Therefore, the results of such modeling always need to be validated by comparison with experimental measurements under real-world conditions. Remote sensing with the support of satellite or aerial sensors has long been used for this purpose. In this article, we focused on data collection with an unmanned aerial vehicle (UAV), which was used both for creating a digital surface model and for dynamic monitoring of the spread of controlled grassland fires in the visible spectrum. We subsequently tested the impact of various processing settings on the accuracy of the digital elevation model (DEM) and orthophotos, which are commonly used as a basis for analyzing fire spread. For the DEM generated from images taken during the final flight after the fire, deviations did not exceed 0.1 m compared to the reference model from LiDAR. Scale errors in the model with only approximal WGS84 exterior orientation parameters did not exceed a relative accuracy of 1:500, and possible deformations of the DEM up to 0.5 m in height had a minimal impact on determining the rate of fire spread, even with oblique images taken at an angle of 45°. The results of the experiments highlight the advantages of using low-cost SfM photogrammetry and provide an overview of potential issues encountered in measuring and performing photogrammetric processing of fire spread.

On-Orbit Geometric Calibration of the HJ-2 A/B Satellites' Infrared Sensors

Abstract. With the advancement of China's satellite technology, the HuanJingJianZai-2 A/B (HJ-2 A/B) satellites, equipped with whisk-broom infrared sensors, represent a significant leap forward in environmental monitoring and Earth observation capabilities. This technological leap, however, introduces new challenges in calibration. The unique structure of the HJ-2 A/B infrared spectroradiometer (IRS) necessitates innovative calibration techniques, as traditional methods primarily focused on exterior orientation parameters (EOPs) and often overlooked the importance of interior orientation accuracy, which is essential for accurate multispectral band registration and color rendering. Addressing this gap, we introduce an innovative multi-focal-plane-array joint calibration method specifically designed for whisk-broom cameras. Our method involves selecting a master band from each focal plane array for accurate focal length calibration and deriving ground control points from image matching and altitude interpolation for comprehensive bundle adjustment. This adjustment refines EOPs and interior orientation parameters (IOPs), ensuring globally optimal EOPs and enhanced IOPs calibration stability. The application of our method to the HJ-2 A/B IRS yielded substantial improvements in georeferencing and band registration accuracies, surpassing traditional methods. This paper details the multi-focal-plane-array joint calibration method, describes the IRS and experimental setup, presents the experimental results, and concludes with the implications and potential applications of our findings.

3D Modeling of Façade Elements Using Multi-View Images from Mobile Scanning Systems

There is a growing demand for detailed building façade models (Level-of-Detail 3: LoD 3) in a variety of applications. Despite the increasing number of papers addressing this issue in the literature, occlusions are still a significant problem when processing building façade elements. Conversely, depending on the view angle of the images, the detected elements might not be projected to their accurate locations causing uncertainties in their 3D locations. In this paper, we address the aforementioned issues utilizing multi-view images. Using a building footprint layer, we first locate the points belonging to buildings. We then detect the 2D windows and doors in images by combining Faster R-CNN and Segment Anything (SAM) deep learning models. The 2D borders are projected into the 3D object space using a pinhole camera model and collinearity equations. Utilizing the multi-view capabilities of mobile scanning systems, this method effectively mitigates uncertainties associated with occlusion and exterior orientation parameters (EOP). This study provides a comprehensive evaluation of 3D spatial accuracy, achieving an average of 84% Intersection over Union (IoU) accuracy for 12 different single-sided façades over 750 multi-view images for 312 windows and doors of various sizes with rectangular and curved shapes.

Camera optimal projection model identification and calibration method based on the NGO-BA architecture.

In order to bridge the fundamental commonalities between imaging models of camera lenses with different principles and structures, allowing for an accurate description of imaging characteristics across a wide range of field-of-view (FOV), we have proposed a generic camera calibration method on the basis of the projection model optimization strategy. First, in order to cover the current mainstream projection models, piecewise functions for geometric projection models and a polynomial function for the fitting projection model are designed. Then, the corresponding camera multistation self-calibration bundle adjustment (BA) module is developed for various projection models. Further, by integrating the self-calibration BA algorithm into the northern goshawk optimization architecture, iterative optimization is performed on the projection model adjustment parameters, camera interior parameters, camera exterior parameters, and lens distortion parameters until the target reprojection (RP) error reaches the global minimum. The experimental results indicate that the calibration RP root mean square error in this method is 1/20 pixel for a 68° FOV camera, 1/13 pixel for an 84° FOV camera, 1/9 pixel for a 115° FOV camera, 1/9 pixel for a 135° FOV camera, and 1/6 pixel for a 180° FOV camera. This calibration method offers fast and versatile optimization for various projection model types, encompassing a wide range of projection functions. It can efficiently determine the optimal projection model and all imaging parameters for multiple cameras during the calibration process.

Продуктивные показатели баранчиков породы манычский меринос в зависимости от генотипов гена гормона роста

The article presents the results of genotyping of sheep of the Manych Merino breed. The specificity of the allele spectrum of the GH (growth hormone) gene controlling growth and development, as well as influencing the meat productivity of sheep, was revealed, expressed in different frequency of occurrence of both alleles and genotypes. The connection of allelic variants of the GH gene with growth indicators and exterior parameters has been established.

Associations of CAST, GH gene polymorphism in young sheep with a blood type of ? Charolais + ? Kalmyk kurdyuchnaya with measurements of body articles and indices of physique

To increase the production of meat productivity, it is necessary to improve the genetic resources of sheep. The purpose of this work was to establish the allelic spectrum of the calpastatin (CAST) and somatotropin (GH) genes, and their associations with meat productivity in young animals of mixed stock with a bloodline of ? Charolais + ? Kalmyk chicken and to identify the effects of polymorphism of gene markers on the exterior parameters of young animals. The object of the study is the repair young sheep reared in the farm "Arl" of the Yashkul district of the Republic of Kalmykia. The PCR-PDRF method determined the allelic spectrum of genes: calpastatin (CAST), somatotropin (GH), in young hybrids with a blood type of ? Charolais + ? Kalmyk chicken. The superiority of the CASTM allele (0.78) over the frequency of occurrence of the selectively significant CASTN allele (0.22) was noted in the calpastatin gene in crossbreed livestock. According to the growth hormone gene, molecular genetic analysis showed that the frequency of occurrence of the GHA allele in young mixed sheep was 0.88, and the frequency of occurrence of the selectively significant GHB allele was 0.12. A comparative analysis of the live weight of animals with different genotypes showed that sheep and sheep carriers of heterozygous CASTMN and GHAB genotypes have higher live weight indicators than their peers with homozygous CASTMM and GHAA genotypes. Measurements of articles of exterior and indices of physique depending on genotypes are described, since their use allows breeders to determine the type of constitution, individual characteristics, degree and proportionality of the development of the organism, age variability, condition and ability to a particular productivity.

ESTIMATION OF SENSOR OFFSETS FOR A UAV PLATFORM USING TIEPOINTS ONLY

Abstract. In a UAV system, physical sensor offsets occur between an observation sensor and a GPS/IMU sensor which represents the position of UAV. The difference of angle between the GPS/IMU sensor’s axis and the observation sensor’s axis is referred to as boresight angle. The difference in physical position between the two is referred to as lever-arm. It is important to obtain accurate offset values in order to utilize UAVs in rapid mapping manner. Due to the sensor offsets, misalignment error can be caused when generating a mosaic image. Offset values can be measured by using extensive ground control points. However, this is very costly and time-consuming. In this study, we describe an estimation method for sensor offsets using tie-points and re-weighted least square estimation method. The proposed method consists of 5 steps. Firstly, a frame images for the target area were classified into image strips based on the kappa value of initial EOPs (Exterior Orientation Parameters), after which tie points were extracted between adjacent images. Secondly, strip bundle adjustment was performed to update initial EOPs using images with the same flight direction. Thirdly, tie-points between adjacent strips were extracted. Fourthly, block bundle adjustment was performed in all images, using all extracted tie-points. Finally, a mosaic image is generated using the EOPs value to which the estimated sensor offset is applied. From this study, we confirmed that the sensor offset of the platform could be estimated only with the tie-points extracted between adjacent images. And we confirmed that misalignment was adjusted when generating mosaic image. We expect that our research makes UAV system to be operated more fluently.

Investigation of the spatiotemporal patterns of air quality over the metropolitan area of Tehran, using TROPOMI and OMI data

AbstractAir quality has been one of the main concerns among Tehran residents for at least two decades. In this study, we investigated air quality in the metropolitan area of Tehran utilizing TROPOMI and OMI data based on the Google Earth Engine platform. Long-term analysis indicated slight negative trends in NO2, SO2, and HCHO over the last two decades, which are due to the development of urban transportation systems. Air quality parameters were classified based on spatiotemporal similarities. Urban pollutants include CO1, NO2, and HCHO, which were concentrated over the eastern part of Tehran and decreased radially towards the city border. Among the pollutants, CO1 showed a dependency with altitude. SO2 was controlled by both urban vehicles and nonurban industrial activities. SO2 was thus classified as an urban-industrial pollutant. The exterior parameters almost entirely controlled by external factors include O3, aerosols, and clouds. The spatial variations of the pollutants highly differed from a fraction to several times. All pollutants exhibited seasonality associated with fuel consumption and air conditions. However, the seasonality in the exterior parameters was associated with regional air masses. The Iranian New Year holiday significantly impacts air pollution. NO2, CO1, and SO2 experienced their annual minimum levels during this holiday period. COVID-19–related closures also led to negative trends in NO2, CO1, and SO2 after March 2020. However, the exterior parameters were not affected by these events. The results agreed with in situ measurements. As the final objective, we aimed to support urban management to reduce atmospheric pollution in Tehran.

Principles of self-calibration and visual effects for digital camera distortion

Abstract Producing accurate spatial data with stereo photogrammetric techniques is a challenging task, and the central projection of the space needs to be defined as closely as possible to its real form in each image taken for the relevant production. Interior camera parameters that define the exact imaging geometry of the camera and the exterior orientation parameters that locate and rotate the imaging directions in a coordinate system have to be known accurately for this correct definition. All distortions sourcing from lens and sensor planes and their recording geometry are significant as they are not suitable for detection with manual measurements. It is of vital importance to clearly understand the camera self-calibration concept with respect to the lens and the sensor plane geometry and include every possible distortion source as an unknown parameter in the calibration adjustments as they are all modellable systematic errors. In this study, possible distortion sources and self-calibration adjustments are explained in detail with a recently developed visualization software. The distortion sources investigated in the study are radial, tangential, differential scale, and axial skewing distortion. Thanks to the developed software, image center point, distorted grids, undistorted grids, and principal points were visualized. As a result, the most important element of obtaining accurate and precise photogrammetric productions is the correct definition of the central projection of the space for each image, and therefore, the study explains an accurate and robust procedure with the correct definition and use of correct camera internal parameters.

Growth rate of red fox puppies of Vyatka fire type

Purpose: assessment of the dynamics of the growth of the red fox in the process of its ontogenetic development.Materials and methods. The article describes and analyzes the body weight and linear body measurements of females and males of the red fox of the Ognivka Vyatskaya type in postnatal ontogenesis. The research was carried out in the Vyatka farm (Kirov region). The animals were kept in the same conditions, fed in accordance with age and physiological condition. Linear measurements and weighting were performed at 3, 4, 5, 6 and 7 months of age. Growth indicators were fox body weight, body length, snout, head and tail, girth and height of the chest, snout width, length and girth of the front and hind legs.Results. As a result of the studies, periods of intensive puppy growth were identified. The maximum increase in body weight and linear measurements is observed from 3 to 4 months of age, when intensive growth and development of the animal organism is observed. Throughout the study, the coefficient of body weight variation (CV) was maximal compared to linear body measurements and ranged from 6% in 3-month-old puppies to 17% in 6-month-old animals, which makes it possible to consider body weight as an individual indicator of puppy development. All linear measurements at all study timelines had a coefficient of variation (CV) below 10% (ranged from 1 to 8%), that is, one can judge the weak degree of variability of the studied features. Also, during all study periods, sexual dimorphism is visible, males significantly exceeded the size and body weight of females in all studied parameters (p < 0.005).Conclusion. The dynamics of the growth and development of red fox puppies of the Ognivka Vyatskaya type were revealed. Age-related changes in the exterior parameters of young red foxes have been studied.

Variability of plastic features of size groups of the american catfish <i>Ameiurus nebulosus</i> (Lesueur, 1819) – alien species in the water bodies of Belarus

A scheme for measuring the plastic features of the brown bullhead, including 28 morphometric characteristics, has been proposed. Based on the cluster analysis of morphometric characteristics, the size groups of species of a model water body were determined (Karpin village pond, Maloritsky district, Brest region).The change in the exterior parameters of the brown bullhead during its ontogenesis has been shown for the first time. It is proposed to divide brown bullhead individuals into 3 size groups for analysis: A – young individuals not involved in reproduction (body length without a caudal fin up to 135.0 mm); B – mature individuals that have started breeding (sizes from 136.0 to 174.0 mm); C – adults, actively breeding individuals (sizes from 175.0 to 187.0 mm).

Exterior features of American miniature horses of the pony farm "Idalgo"

The main task of preserving populations of small breeds of horses imported from abroad with their unique characteristic features of the exterior and type of constitution is the organization of the reproduction of the livestock and the preservation of the exterior parameters of the breed in descendants. In modern conditions of a small number of populations of such breeds, the influence of the inbreeding depression factor increases, as well as the manifestation of recessive mutations and hereditary pathologies in the offspring.[8] On the one hand, this can form changes that are not typical for the breed: phenotype, measurements, body type of the animal's format; on the other hand, such features of breeding horses in the absence of a selection press and selection will lead to the formation of a population of horses of the breed type. Such breed types should be fixed by breed leaders and have a territorial localization; if this does not happen, then the livestock that does not meet the requirements of the breed may lose the status of purebred. [2][6] The study consisted in monitoring the indicators of measurements by generation to identify the dynamics of changes in the format of the horse population and their compliance with the breed standard of American miniature pony horses. The article presents the indicators of the main measurements of American miniature pony horses for a number of generations and carried out their comparative analysis, with the standard requirements of the corresponding measurements of the breed. The analysis showed the following dynamics: in height at the withers, the increase is 46.5%, in the oblique length of the body, the increase is 97.8%, in the distance from the withers to the tail, the increase was 103.5%, which characterizes a more intensive growth of the peripheral skeleton in the postembryonic period and the formation of an elongated format with age . While the angle of the shoulder, wrist and tarsus is less variable in the age aspect and depends on individual hereditary factors, and not on age. A number of recommendations have been developed for specialists of the club "IDALGO" on the selection of parental pairs for correction for compliance with the standard requirements for measuring indicators in offspring.

Numerical Analysis of GNSS Signal Outage Effect on EOPs Solutions Using Tightly Coupled GNSS/IMU Integration: A Simulated Case Study in Sweden.

The absence of a reliable Global Navigation Satellite System (GNSS) signal leads to degraded position robustness in standalone receivers. To address this issue, integrating GNSS with inertial measurement units (IMUs) can improve positioning accuracy. This article analyzes the performance of tightly coupled GNSS/IMU integration, specifically the forward Kalman filter and smoothing algorithm, using both single and network GNSS stations and the post-processed kinematic (PPK) method. Additionally, the impact of simulated GNSS signal outage on exterior orientation parameters (EOPs) solutions is investigated. Results demonstrate that the smoothing algorithm enhances positioning uncertainty (RMSE) for north, east, and heading by approximately 17-43% (e.g., it improves north RMSE from 51 mm to a range of 42 mm, representing a 17% improvement). Orientation uncertainty is reduced by about 60% for roll, pitch, and heading. Moreover, the algorithm mitigates the effects of GNSS signal outage, improving position uncertainty by up to 95% and orientation uncertainty by up to 60% using the smoothing algorithm instead of the forward Kalman filter for signal outages up to 180 s.

First and Second-Order Polynomial Transformation for satellite image correction

The absence of ground control points (GCPs) in historical declassified intelligence satellite photography (DISP) images, as well as satellite orbit parameters, and camera interior and exterior orientation parameters, necessitated the creation of a first-order 1st polynomial equation model and a second-order 2nd polynomial equation model for orthorectification purposes. The Mosul region of northwest Iraq was used as a case study, with data from Satellite 7 released on April 15, 1999. The study achieved an RMS of approximately 2.1 x 10−8 and the error ratio was considered acceptable due to the 30-meter resolution of the satellite image.