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A matching method for optical and synthetic aperture radar (SAR) images, robust to speckle noise, is presented. Firstly, a coarse correction to eliminate rotation and scale change between images is performed. Secondly, features robust to speckle noise of SAR image are detected by improving the original phase congruency based method. Then, feature descriptors are constructed by combining the Gaussian-Gamma-Shaped...
In western China, there is a large area perennially covered by cloud, fog, ice, and snow. It is very difficult to acquire optical image for mapping in this area, so high resolution spaceborne synthetic aperture radar (SAR) images have to be used to make topographic maps. A scheme of SAR mapping technology is proposed in this paper. Digital elevation model (DEM) was extracted with stereo radargrammetry...
This paper proposes a two-stage registration method for SAR and optical images based on multi-features and multi-constraints. In the first stage, closed regions are extracted automatically to achieve the coarse mapping parameters as geometrical restriction. In the second stage, Harris corner points and cross-road features are extracted, and then correlation analysis and mutual information are utilized...
In this paper, we propose a novel algorithm for matching optical image to synthetic aperture radar (SAR) image based on scattered edge feature using relaxation Hausdorff distance combined with genetic algorithm. A method is presented to extract scattered edge feature from low signal to noise ratio (SNR) SAR image via statistical and ratio model. Based on the scattered edge image from SAR and optical...
The registration of synthetic aperture radar (SAR) and optical images is the critical precondition for image fusion and image analysis, since SAR and optical imaging have complementary effects. However, the traditional algorithms do not often meet the actual demands when a large distortion, the combination of translation, a big rotation and a great scale change, exists between SAR and optical images...
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