A Study of Dam Detection Based on Multi-source Satellite Images Fusion
基于多源卫星图像融合的水坝检测方法的研究

A method of dam detection based on multi-source satellite images fusion is brought forward. Under the pattern of feature level fusion, this approach utilizes the advantage, which adopts commutative complementarily characters of multi-source remote sensing. First, extra the features in multi-source satellite images in turn. Then these features are fused by logic template of multi-sensor fusion to get the target detection output of the system. The result of the test proves that the approach can effectively detect and locate the dam in the large complex remote sensing image and reduce the miscarriage of justice and mistake in only one satellite image. The whole algorithm can work automatically, achieving the anticipating aim.