On the deformation of moving objects in high resolution satellite images

Jianwei Tao; Qiming Qin

doi:10.1117/12.830201

30 October 2009 On the deformation of moving objects in high resolution satellite images

Jianwei Tao, Qiming Qin

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954E (2009) https://doi.org/10.1117/12.830201
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Most high resolution remote sensing satellites use linear array push-broom sensors to take images. As the taken image is composed of thousands of image lines which were sensed at different time instants, so if there was a moving object in the scope of the scene, then geometric shape of the image of the object would be different from its image when it was still. The difference is the deformation caused by the object's movement. This paper presented a method to calculate the deformation and using the deformation to calculate the moving parameters of the moving object.

Citation Download Citation

Jianwei Tao and Qiming Qin "On the deformation of moving objects in high resolution satellite images", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954E (30 October 2009); https://doi.org/10.1117/12.830201

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