Region-Based Image-Key-Element Decomposition For Large-Scale Sar Images

A large-scale SAR image covers various land covers and targets with different complexity and statistical characteristics. Single algorithm always fails to deal with the interpretation tasks of large-scale remote sensing images, due to the mismatch between local background conditions and the algorithm requirements. This paper proposes a novel processing method named Image-Key-Element Decomposition, aiming at decomposing a SAR image into several regions under a certain criterion. Every decomposed key element is the subset of the whole image and represents a pixel set with a particular characteristic. Considering that many algorithms have certain requirements about the complexity status of backgrounds, homogeneous is used as the criterion in this paper and the SAR images will be decomposed into homogeneous and heterogeneous elements. The experimental result shows that homogeneous and heterogeneous regions are separated by the proposed model and the following processing may take advantage of the result to improve the performance.