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This paper proposes a robust SAR image segmentation scheme for SAR images with speckle noise. Our method can simulate the intrinsic property of SAR image by the proposed infinite mixture model-Dirichlet process mixture model and determine the cluster number automatically. The Gaussian-Hermite moment is applied to extract features to improve the robust of segmentation and reduce the influence of speckle...
Image segmentation is a fundamental issue in image processing. Segmentation of synthetic aperture radar (SAR) images is extremely difficult on account of intrinsic multiplicative speckle noises. Due to the ambiguities of SAR images, labeled instances are difficult and time-consuming to obtain while unlabeled data are abundant. In this paper, a new semi-supervised approach based on transductive support...
To speed up the segmentation procedure and improve the segmentation quality of SAR image, the paper suggests a PSOGE algorithm, which is based on particle swarm optimization and grey entropy. In the algorithm, after a filtered image and a gradient image are deduced from the origin SAR image respectively, their grey-level co-occurrence matrix is constructed. On the basis of the matrix, a grey entropy...
To evaluate the quality of denoised SAR images, this paper discusses some performance parameters, and proposes a grey-theory-based method. The main idea of the method is to extract some comparative sequences and a reference sequence, respectively standing for quality of the denoised SAR images and the noise-free image, after all the denoised images involved are concerned. And then, an overall performance...
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