A method for extracting InSAR image features of negative and positive obstacles
Radar sensors have received more and more interest for unmanned ground vehicle to sense positive and negative obstacles in unstructured environments or out fields, especially on negative obstacle. In this paper, we present an approach for extracting the features of obstacles from radar images. Based on interferometric synthetic aperture radar (InSAR) images focused by the back-projection (BP) algorithm, range compensation, speckle filtering and threshold segmentation are performed. And morphological operations are used to perform some simple connectivity filtering to smooth the image and remove spurious pixels. Finally, feature fusion is applied to the amplitude and the correlation coefficient images. Both the theoretical analysis and the experimental results indicate that the proposed method is an efficient method.