ZY-1 02C Research Articles

A combined image matching method for Chinese optical satellite imagery

ABSTRACTImage matching is one of the key technologies for digital Earth. This paper presents a combined image matching method for Chinese satellite images. This method includes the following four steps: (1) a modified Wallis-type filter is proposed to determine parameters adaptively while avoiding over-enhancement; (2) a mismatch detection procedure based on a global-local strategy is introduced to remove outliers generated by the Scale-invariant feature transform algorithm, and geometric orientation with bundle block adjustment is employed to compensate for the systematic errors of the position and attitude observations; (3) we design a novel similarity measure (distance, angle and the Normalized Cross-Correlation similarities, DANCC) which considers geometric similarity and textural similarity; and (4) we introduce a hierarchical matching strategy to refine the matching result level by level. Four typical image pairs acquired from Mapping Satellite-1, ZY-1 02C, ZY-3 and GeoEye-1, respectively, are used for experimental analysis. A comparison with the two current main matching algorithms for satellite imagery confirms that the proposed method is capable of producing reliable and accurate matching results on different terrains from not only Chinese satellite images, but also foreign satellite images.

Remote sensing geological interpretation based on ZY-1 02C satellite images: A case study of Pamir area, Tajikistan

In order to offer remote sensing information support to geological and mineral resources survey and exploration overseas,the authors conducted further study of geological phenomena and structural characteristics in target areas of Tajikistan on the basis of previous results and current field exploration,established interpretation marks for sedimentary rocks,metamorphic rocks,intrusive rocks,fault structure,fold structure and ring structure in southern Tajikistan area with reference to ring geomorphologic landscape,tune,and stripes shown on remote sensing images gathered by ZY-1 02 C satellite. A comparative analysis of panchromatic multispectral camera( P/MS) data and panchromatic high-resolution camera( HR) data received by ZY-1 02 C satellite demonstrates that the color of geological bodies in P / MS has stark contrast so that it is more convenient to establish regional tectonic structure and carry out interpretation on rock categories,whereas micro-topography,grains and details of geological bodies shown in HR are clearer,which is suitable for identifying lithological charateistics and minor structures,especially for types of stratified structure,granularity of clastic rocks,Quaternary,mining activities and rocks with unique components.

Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery

Dynamic mapping and monitoring of crop harvest on a large spatial scale will provide critical information for the formulation of optimal harvesting strategies. This study evaluates the feasibility of C-band polarimetric synthetic aperture radar (PolSAR) for monitoring the harvesting progress of oilseed rape (Brassica napus L.) fields. Five multitemporal, quad-pol Radarsat-2 images and one optical ZY-1 02C image were acquired over a farmland area in China during the 2013 growing season. Typical polarimetric signatures were obtained relying on polarimetric decomposition methods. Temporal evolutions of these signatures of harvested fields were compared with the ones of unharvested fields in the context of the entire growing cycle. Significant sensitivity was observed between the specific polarimetric parameters and the harvest status of oilseed rape fields. Based on this sensitivity, a new method that integrates two polarimetric features was devised to detect the harvest status of oilseed rape fields using a single image. The validation results are encouraging even for the harvested fields covered with high residues. This research demonstrates the capability of PolSAR remote sensing in crop harvest monitoring, which is a step toward more complex applications of PolSAR data in precision agriculture.

Study and analysis of application of ZY-1 02C satellite data to remote sensing monitoring technology for exploration of mineral resources

With the HR / MUX data of ZY- 1 02 C obtained from Chengde and Xunwu experimental areas as examples,the authors applied the remote sensing monitoring technology to the exploration of mineral resources at the scale of 1 ∶ 50 000. The problems in the application process were studied and analyzed,the solutions and recommendations,which play a demonstration role in the large- scale application of mineral exploration monitoring,were proposed. Some conclusions have been reached: In the data processing,the 02 C HR1and HR2 data with 2. 36 m resolution must be orthorectified first before splicing,and the MUX data with 10 m resolution should be composed with simulated true color by using the false color composition method. In the aspect of mine object recognition,the 02 C image can better reflect mining position,transit field,mine construction and other types of mining features in comparison with SPOT5 image,but its relative smooth texture information and relative fuzzy boundary of the mine ground objects increase the difficulty of indoor interpretation. In economic efficiency,the price advantage of 02 C data is obvious. Although the 02 C data processing and interpreting have larger workload,it can meet the remote sensing monitoring of mineral exploration at 1∶ 50 000 scale,and the overall economic benefit is significant.

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-oriented multi-variable model

The Chinese ZY-1 02C satellite is one of the most advanced high-resolution earth observation systems designed for terrestrial resource monitoring. Its capability for comprehensive landscape classification, especially in urban areas, has been under constant study. In view of the limited spectral resolution of the ZY-1 02C satellite (three bands), and the complexity and heterogeneity across urban environments, we attempt to test its performance of urban landscape classification by combining a multi-variable model with an object-oriented approach. The multiple variables including spectral reflection, texture, spatial autocorrelation, impervious surface fraction, vegetation, and geometry indexes were first calculated and selected using forward stepwise linear discriminant analysis and applied in the following object-oriented classification process. Comprehensive accuracy assessment which adopts traditional error matrices with stratified random samples and polygon area consistency (PAC) indexes was then conducted to examine the real area agreement between a classified polygon and its references. Results indicated an overall classification accuracy of 92.63% and a kappa statistic of 0.9124. Furthermore, the proposed PAC index showed that more than 82% of all polygons were correctly classified. Misclassification occurred mostly between residential area and barren/farmland. The presented method and the Chinese ZY-1 02C satellite imagery are robust and effective for urban landscape classification.

Inner FoV Stitching of Spaceborne TDI CCD Images Based on Sensor Geometry and Projection Plane in Object Space

High-quality inner FoV (Field of View) stitching is currently a prerequisite step for photogrammetric processing and application of image data acquired by spaceborne TDI CCD cameras. After reviewing the technical development in the issue, we present an inner FoV stitching method based on sensor geometry and projection plane in object space, in which the geometric sensor model of spaceborne TDI CCD images is used to establish image point correspondence between the stitched image and the TDI CCD images, using an object-space projection plane as the intermediary. In this study, first, the rigorous geometric sensor model of the TDI CCD images is constructed. Second, principle and implementation of the stitching method are described. Third, panchromatic high-resolution (HR) images of ZY-1 02C satellite and triple linear-array images of ZY-3 satellite are utilized to validate the correctness and feasibility of the method. Fourth, the stitching precision and geometric quality of the generated stitched images are evaluated. All the stitched images reached the sub-pixel level in precision. In addition, the geometric models of the stitched images can be constructed with zero loss in geometric precision. Experimental results demonstrate the advantages of the method for having small image distortion when on-orbit geometric calibration of satellite sensors is available. Overall, the new method provide a novel solution for inner FoV stitching of spaceborne TDI CCD images, in which all the sub-images are projected to the object space based on the sensor geometry, performing indirect image geometric rectification along and across the target trajectory. At present, this method has been successfully applied in the daily processing system for ZY-1 02C and ZY-3 satellites.

Data fusion methods of ZY-1 02C and ETM + images and effect evaluation

Data fusion methods of ZY-1 02C and ETM + images and effect evaluation

On-Orbit Geometric Calibration of the Panchromatic/Multispectral Camera of the ZY-1 02C Satellite based on Public Geographic Data

On-Orbit Geometric Calibration of the Panchromatic/Multispectral Camera of the ZY-1 02C Satellite based on Public Geographic Data

Methods of water extraction from ZY-1 02C satellite imagery

Methods of water extraction from ZY-1 02C satellite imagery

Tentative construction of satellite data management and service system for ZY-1 02C

In order to meet the management and service needs of China's first self- developed high- resolution satellite for earth resources investigation proposed by related land and resources department,the authors designed and developed the C / S- based data management subsystem and the B / S- based data services subsystem of ZY- 1 02C,with the propose of spreading the application of ZY- 1 02C data relying on the existing hardware and software environment of land and resources field. Functions such as timely storage of mass data,efficient distribution and real- time online inquiries were completed in this system. The study and development of this system can provide basic data protection for spreading utilization of ZY- 1 02C data in land and resources field and also lay a theoretical and practical foundation for the subsequent earth resource satellite application system in China which integrates many functions( such as data reception,processing,interpretation,and information sharing service) into one function.