Retraction Note: A dynamic acceleration method for remote sensing image processing based on CUDA

In recent 20 years, China has made a lot of efforts and achieved some results in air governance. However, it is not ideal from the result. Some areas of pollution also affect the daily life and physical and mental health of the people, which is an important environmental problem that China needs to solve. This paper presents a double star cooperative AOT inversion algorithm with complex background in urban area. Aiming at the difficulty of AOT inversion on urban area highlighted surface, the paper uses the double satellite remote sensing data and the atmospheric radiation transmission model to realize the inverse reflection of AOT parameters in urban area by using satellite remote sensing image processing. With the development of society, the progress of the times, and the rapid development of urbanization, the environmental pollution problems in some areas also follow. However, this problem is more difficult, because it involves many factors. At present, there is no comprehensive evaluation model to comprehensively evaluate various pollution situations. In this paper, we have carried out a detailed study on the typical model of mountain air pollution and the evaluation method of mountain air pollution. This work provides a practical solution for simulating the air pollution in mountain areas and analyzing environmental data. With the development of economy, people pay more attention to tourism, and the construction of tourism brand has become a trend. Higher and better service has become a new pursuit of consumers in the process of tourism, which makes more rural people get rid of poverty, and further improves the attention and protection of ecological environment. Therefore, this paper studies the assessment of mountain air pollution and the construction of tourism brand by using remote sensing image processing technology, which promotes pollution prevention and tourism industry development.

The incredible increase in the volume of remote sensing data has made the concept of Remote Sensing as Big Data reality with recent technological developments. Remote sensing image processing is characterized with features of massive data processing and intensive computation, which makes the processes difficult. To optimize the remote sensing image processing for GPU, compute unified device architecture (CUDA) is widely used to implement remote sensing algorithms. However, the usage of GPU in remote sensing image processing has been constrained by the complexity of its implementation and configuration. Therefore, how to take fully advantage of the parallel organization of GPU architecture is awfully challenging. In this paper, a dynamic adaptive acceleration (DAA) method is proposed to determine calculation parameters of GPU adaptively and preprocess the input remote sensing images on host dynamically. By this method, we determine calculation parameters according to the hardware parameters of GPU firstly. And then, the input remote sensing images are reconstructed based on the calculation parameters. Finally, the preprocessed image blocks are arranged to stream tasks and executed on GPU respectively. Effectiveness of the proposed DAA method in accelerate remote sensing algorithm with point operations were verified by experiments in this paper, and the experimental results indicated that the DAA method can obtain better performance than traditional methods.

Lifelong learning algorithm based on Bayesian model can receive data continuously and update the model dynamically in real time. It is suitable for the processing of scalability and data flow pattern. It is one of the hot spots in the field of machine learning. Aiming at the problem of continuous learning of data stream, this paper studies Bayesian model design, parameter reasoning, and multi-data processing. Then, according to the product operation of wavelet transform and short-term monitoring support vector machine, the precipitation dynamic estimation method of rainfall radar multiplier in mountainous area is proposed. Based on the precipitation data of East China in 2019 and the rainfall data observed by radar in mountainous areas, and taking the estimated time as the reference, the radar reflection and rainfall data in mountainous areas in the first 30 min are selected and converted into wavelet field as the training data, and then the dynamic precipitation estimation model is established by using vector medium, and the precipitation in mountainous areas is estimated at 6-min intervals. Finally, this paper makes an intervention study on college students’ mental health. The research object is a university student. The subjects are divided into two groups by using random clustering samples. There were 779 people in the experimental group; the other group was the control group, with a total of 355 people. In order to improve their mental health literacy, we should change the implementation of mental health education curriculum. The changes of dependent variables include self-reported mental health literacy, self-efficacy of coping with psychological problems, and behavior attitude of seeking psychological help. Based on the above Bayesian model and intervention research, this paper intervenes the mental health education of college students, so as to improve the mental health quality of college students.

Friedel–Crafts Reaction as a simple and convenient approach to the surface modification of aramid fiber was introduced in this paper. Epoxy chloropropane was chosen as the treatment reagent to modify aramid fibers surface via Graft reaction. After the modification, the interfacial properties of aramid/epoxy composites were investigated by the single fiber pull-out test (SFP), and the mechanical properties of aramid fibers were investigated by the tensile strength test. The results showed that the interfacial shear strength (IFSS) value of aramid/epoxy composites was enhanced by about 50%, and the tensile strength of aramid fibers had no obvious damage. The crystalline state of aramid fibers was determined by X-ray diffraction instrument (XRD), and the results showed that there were not any distinct crystal type varieties. The surface elements of aramid fibers were determined by X-ray photoelectron spectroscopy (XPS), the analysis of which showed that the oxygen/carbon ratio of aramid fiber surface increased obviously. The possible changes of the chemical structure of aramid fibers were investigated via Fourier transform infrared spectrum (FTIR), and the analysis of which showed that the epoxy functional groups were grafted into the molecule structure of aramid fibers. The surface morphology of aramid fibers was analyzed by Scanning electron microscope (SEM), and the SEM results showed that the physical structure of aramid fibers was not etched or damaged obviously. The surface energy of aramid fibers was investigated via the dynamic capillary method, and the results showed that the surface energy was enhanced by 31.5%, and then the wettability degree of aramid fiber surface was enhanced obviously too. All of the results indicated that this novel chemical modification approach not only can improve the interfacial bonding strength of aramid/epoxy composites remarkably, but also have no negative influence on the intrinsic tensile strength of aramid fibers.

Retraction Note: Multi-level Dynamic Fuzzy Evaluation and BP Neural Network Method for Performance Evaluation of Chinese Private Enterprises

In recent years, learning based super-high resolution image reconstruction technology has been rapidly applied. It also has good development and application effect in related fields. So in this paper, by combining the characteristics of SAR image, the learning based super-high resolution image reconstruction technology is added to the field of super-high resolution image reconstruction, and has been applied in reality. Image classification and ultra-high resolution technology are closely integrated. However, because the hardware facilities of some equipment are relatively expensive, and will inevitably be affected by other factors in the imaging process, in order to better study the influence of the increase of dissolved total solids in groundwater on the water level in the core of the funnel in the plain area, and the main components of the increase of dissolved total solids in groundwater. Every country in the world is carrying on a kind of propaganda to its national image, which is also a main manifestation of the overall level of the country. This paper studies the process of City English translation, makes corresponding analysis and preparation before city English translation, and pays attention to relevant reply and report after city English translation. This paper focuses on the construction system of City English translation and the improvement of the ways and methods of using English to publicize the city. Through the construction of City English translation system, this paper expounds the influence of Public English translation in City publicity construction, and changes the corresponding strategies for high-resolution image processing, so as to make English translation more accurate for the change process of total dissolved solids in groundwater, and improve the ability and level of City English translation.

The publisher has retracted this article in agreement with the Editor-in-Chief. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the publisher no longer has confidence in the results and conclusions of this article. Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Retraction Note: Research on path guidance of logistics transport vehicle based on image recognition and image processing in port area

Retraction Note: Visualization of green building landscape space environment design based on image processing and artificial intelligence algorithm

Retraction Note: IoT-based analysis of tennis player’s serving behavior using image processing

China’s agricultural planting area is large, irrigation water consumption is large, and water resources are relatively small. Agricultural irrigation water management can have a huge positive impact on water saving and improvement of water use efficiency. The content of water in the soil is a key focus of irrigation water management. Before irrigating crops, it can not only monitor the current climate conditions but also assess the water demand of crops. After the crops are irrigated with water, the change index of the water content in the soil can help people evaluate the effect of irrigation. Therefore, timely and accurate acquisition of temporal and spatial soil water content information plays an important role in the scientific management of agricultural irrigation water. According to one of the three major irrigation areas in China, as an irrigation area in the experimental area, the 2020 thermal infrared method is used to measure the soil moisture content, and at the same time, the crop water demand estimation model is built, and the remote irrigation area sensor monitoring model and remote sensing irrigation are established. The model estimates crop water demand, area of irrigated area, and irrigation water volume. In addition, in recent years, English has gradually improved its status as the most important language tool in the international communication environment. In this case, more and more attention will be paid to the correctness of English translation. The correctness of English translation is affected by various cultural factors. Therefore, in order to further improve the accuracy of English translation, this article comprehensively analyzes the accuracy of English translation from the cultural background, cognition and thinking habits, and the influence of different cultural factors and proposes corresponding improvement plans for it.

The Gaussian mixture model is used to determine the coordinate distribution curve of the image gray value. The distribution probability value and approximate spatial coordinates of the image gray value in different intervals are calculated by substituting the specified data into the model. When the approximate spatial coordinates are determined, establishing a second-order entropy function is used to calculate the coordinate distribution set of different levels of gray in a specific range, and the gray with the most considerable entropy function is selected as the distinction among all grays. The objectives are proved through a large number of simulation experiments that the method of establishing an entropy function to determine the spatial distribution of image gray levels can improve the accuracy of image segmentation and enhance image processing efficiency. The Camshift algorithm is frequently used when using the entropy function to determine the spatial distribution of image gray levels. At present, the algorithm is widely used in image processing and widely used by researchers in the research of computer data processing and robot target tracking. However, this algorithm has a fatal flaw. Suppose the color of the environment where the target is tracked is very similar to the color of the target itself or is prone to interference. In that case, it is straightforward to lose the target during target tracking. Researchers put forward a target tracking method based on ORB feature detection and Kalman filtering multiple algorithms based on this phenomenon. First, detect the target ORB feature points to initialize the search window, and then use the Kalman filter as the target motion state prediction mechanism. Suppose it is interfered with by the background. In that case, the ORB algorithm is used to match the Kalman prediction area’s feature points and the target model in the current frame, and the position of the target in the video frame is detected again. The predictor parameters are updated according to the Kalman filter to predict the target’s possible position after being occluded by the object.

This article has been retracted at the request of the authors. After publication, the authors found that in Figure 2B-a the first two images in the third row partly overlapped and that there is also overlap between the fourth and fifth image in the second row. The two images were taken from two adjacent wells, treated by ZA 0.3uM-CM or ZA 0.75uM-CM, with or without PL 1.25uM. This overlap may have been caused by mishandling in the imaging process when the authors made microscope observations and so the findings are no longer reliable. All authors agree to this retraction.

The publisher has retracted this article in agreement with the Editor-in-Chief. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the publisher no longer has confidence in the results and conclusions of this article. The authors disagree with this retraction. Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Convolutional neural network is a deep learning network, which is more suitable for image and speech processing. Image classification is one of the main research areas of visual artificial intelligence, with many applications, such as scene detection and robot vision enhancement. This paper proposes a new convolutional neural network to evaluate the potential of mangrove wetlands and discusses the development of the network in the film and television cultural and creative industries. Mangrove wetland is a special type of marine wetland centered on mangrove plant communities in tropical and subtropical coasts and intertidal zones of estuaries. They play an important role and play an important role in providing food, protecting wild germplasm resources, and population survival. Over the years, due to population pressure and economic development, the quality of mangrove wetlands has declined, the area has shrunk, and the restoration of mangrove wetlands has become a global hot spot. The development of the film and television industry is an important way to promote China’s cultural innovation. It is essential for strengthening the country’s soft power and improving China’s international image. However, due to the influence of many factors, the development of China’s film and television cultural creation industry is slow, and the development process is lagging behind. In recent years, the country has considered the development level of the cultural industry as an important development strategy, and has been taking various measures to promote the development of the film and television cultural industry. The creative film and television industry should be aware of its responsibility for cultural dissemination, actively learn from foreign industry development experience, and explore a scientific development system that meets China’s development needs and actual national conditions.