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Change detection is a hot issue and is of great significance in remote sensing. The logarithm operation is a valid way to reduce the influence of multiplicative noise in the Synthetic Aperture Radar (SAR) image. However, changed areas with high gray level values will be weakened due to the nature of the logarithmic function. In this paper, a SAR image change detection framework based on visual attention...
Traditional pixel-based change detection methods are undertaken using the pixel as the research unit. These methods may give high false alarm rate and broken areas, because they don't use semantic information. In order to solve this problem, we present a novel change detection method which is based on radon transform and super-pixel segmentation. First, radon transform is used to achieve a stable...
Previous polarimetric synthetic aperture radar (PolSAR) images change detection methods are generally undertaken in the pixel scale, resulting in overlooking the semantic information. To solve this problem, this paper presents a superpixel-based PolSAR images change detection methods. Different from some previous methods, an improved SLIC superpixel segmentation method is introduced in polarimetric...
In this paper, we present a novel unsupervised change detection scheme for multilook polarimetric synthetic aperture radar (PolSAR) images using heterogeneous clutter models. First, a multilook product model is introduced to describe the heterogeneous clutter for multilook PolSAR data, and a corresponding covariance matrix estimation method is derived. Based on this model, a new similarity measure...
In this paper, we will propose a novel polarimetric SAR (PolSAR) change detection method applied to specific land cover type. Firstly, a polarimetric SAR interferometry (PolInSAR) coherency matrix is used to simultaneously take into account the full polarimetric information from both images. Then, a generalized likelihood ratio test (GLRT) statistic for equality of two polarimetric coherency matrixes...
In this paper, we will propose a novel PolSAR change detection method applied to specific land cover type, i.e., from class ωi to class ωj. Firstly, a new distance measure is derived to extract the difference map belonging to the specified change. Then, Kittler and Illingworth (KI) minimum error threshold segmentation method is applied to obtain the binary change mask. Two Radarsat-2 fully polarimetric...
Thanks to the capability to operate in almost all weather conditions and during both day and night time, change detection (CD) based on SAR data is developed rapidly in recent years, especially with the successful operation of full polarization space-borne SAR system. Most of the CD methods based on Quad-pol SAR data are through the analysis of statistical characteristics of the polarimetric covariance...
Based on the clutter statistical characteristics of fully polarimetric SAR image, this paper presents a novel method for SAR change detection based on the heterogeneous clutter model. We use spherically invariant random vectors (SIRV) distribution model to fit the urban areas of full polarimetric images. Then, the degree of evolution between the statistical characteristics of multi temporal full SAR...
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