Research on airborne stripe SAR image correction method in region of lack control points

Qin Ye; Ming-yue Cheng; Ying Chen; Hui-hong Xie

doi:10.1117/12.750592

14 November 2007 Research on airborne stripe SAR image correction method in region of lack control points

Qin Ye, Ming-yue Cheng, Ying Chen, Hui-hong Xie

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902G (2007) https://doi.org/10.1117/12.750592
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper contrapose the airborne stripe SAR image correction, a new method was discussed which utilized the junction condition in overlap area of adjacent stripe SAR images to assist determination the coefficients of rectification function. At first, the rectification function style was chosen, considering the area of every stripe SAR image is small and narrow, the polynomial correction which has second order term of x and y is chosen. During the processing of determine rectification function, the GCPs and homologous point are used to establish the error equations, and then the coefficients is solved by adjustment integrated in whole area. The rectification function is utilized to every stripe image, and then the rectified stripe images are mosaic to the orthoimage of whole interesting area after the rectification. Since the junction condition is used, the number of GCPs can be reduced and the consistency in overlap area of adjacent stripe images is much better. The experiment Result has verified the reliability and validity of this method, it is suitable the area with few GCPs.

Citation Download Citation

Qin Ye, Ming-yue Cheng, Ying Chen, and Hui-hong Xie "Research on airborne stripe SAR image correction method in region of lack control points", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902G (14 November 2007); https://doi.org/10.1117/12.750592

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KEYWORDS

Synthetic aperture radar

Geodesy

Image quality

Image processing

Integration

Radar

Reliability

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