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The use of multisensors images for different applications, like change detection and image fusion, require an image to image registration. Actually, the image registration becomes a crucial task with the continuous increase in image resolution, especially in urban area. In this paper, a refined automatic Mutual Information based registration approach of spaceborne Synthetic Aperture radar (SAR) and...
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...
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...
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...
Multi-sensor image fusion has attracted much attention in the remote sensing area. It urgently needs a universal and effective objective evaluation approach to measure the effect of image fusion. A new approach based on the singular value decomposition (SVD) is proposed for the remote sensing image fusion assessment. This method measures the divergence of the singular value features between the source...
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