Automatic SAR image registration of integrated complementary invariant features

doi:10.6046/gtzyyg.2014.01.10

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Abstract

The accurate synthetic aperture Radar (SAR) image registration is the prerequisite for exact analysis of mine deformation. Many image registration algorithms have been proposed, but the results are not satisfactory when these registration algorithms are directly applied to SAR image. In view of such a situation, the authors put forward an integrated registration approach in this paper. The first step of this approach is the coarse matching with Canny edge for region division; then the fine matching is performed by SIFT algorithm with improved Canny edge features; finally, the accurate registration SAR image is obtained. This approach has fewer computations than that simply using SIFT feature matching. Experimental analyses with SAR images demonstrate the efficiency and accuracy of this approach for mine SAR image registration, which provides high-quality image data for comprehensive management in mining areas.

Keywords soil moisture MODIS thermal inertia apparent thermal inertia(ATI)

TP75

Issue Date: 08 January 2014

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	HU Meng
	FENG Qi
	XI Haiyang

Cite this article:

HU Meng,FENG Qi,XI Haiyang. Automatic SAR image registration of integrated complementary invariant features[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 52-56.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.10 OR https://www.gtzyyg.com/EN/Y2014/V26/I1/52

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