研究目的
To propose a new block adjustment method without GCPs for GF-3 SAR imagery to ensure high-accuracy geometric positioning and mapping.
研究成果
The proposed method achieves a horizontal accuracy of independent check points better than one pixel and lays a good geometric foundation for global mapping with GF-3 images. It eliminates systematic errors through geometric calibration and ensures consistent mosaic accuracy without the need for GCPs in the block adjustment process.
研究不足
The method requires geometric calibration before block adjustment, which needs GCPs. The accuracy improvement with the increase of GCPs is not significant after geometric calibration.
1：Experimental Design and Method Selection:
The study involves geometric calibration of GF-3 images, generation of the RPC model after calibration parameters compensation, and solving orientation parameters through DEM assisted planar block adjustment.
2：Sample Selection and Data Sources:
GF-3 SAR slant range images from two test areas in China (Wuhan city and Hubei province) with QPSI and FS2 imaging modes.
3：List of Experimental Equipment and Materials:
GF-3 satellite SAR images, DEM data from the United States Geological Survey, and ZY-3 satellite stereoscopic surveying and mapping images for GCPs.
4：Experimental Procedures and Operational Workflow:
Geometric calibration, RPC model generation, planar block adjustment without GCPs, and ortho-rectification.
5：Data Analysis Methods:
Evaluation of geometric mosaic accuracy and absolute positioning accuracy using RMSE and maximum error metrics.
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