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Radar image segmentation is a fundamental problem in radar image interpretation. Radar images often contain a great deal of noise. Level set method, known as deformable model, is a powerful image segmentation technique. It can get accurate contours of clear-cut objects in image without noise, but has poor performance in getting contours of objects in a noisy image. In this paper, a new multi-phase...
This paper proposes a novel Synthetic Aperture Radar (SAR) image ship detection method based on human visual attention mechanism. Firstly, we obtain water segmentation image by combining the bottom-up and the top-down visual attention mechanisms. Secondly, we detect ship targets based on bottom-up the visual attention mechanism. The interested regions are extracted by measuring the visual conspicuity...
A novel spectral-spatial classification method based on meanshift and sparse representation classifier (SRC) for hyperspectral images is proposed in this paper. Firstly, the nonnegative matrix factorization, is used as a preprocessing for meanshift. Then, the meanshift algorithm is adopted to partition an image into amount of blocks and get the segmentation map. Through this way, many size-variable...
In this paper, the AP clustering algorithm is improved by defining a new similarity to be applied in the ploarimetric SAR image classification. On this basis, a new unsupervised classification method is proposed which combines the Four-component decomposition and the improved AP clustering. The proposed method mainly consists of three steps: Firstly, Four-component decomposition is adopted to produce...
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