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In this paper, a novel threshold segmentation method for remote sensing images is proposed. The proposed method is based on Wilcoxon rank sum test and mean absolute deviation (MAD) model with color feature and can segment roads and residential areas from vegetation more accurately. Three steps are used to realize the new method. First, we use blue and green color components as paired sample on Wilcoxon...
Accurate and anti-noise detection of salient regions is a hotspot of remote sensing image analysis. In this paper, we introduce a new salient region detection model for residential areas in high-spatial-resolution remote sensing images, which is called Color Information Content model (CIC), applying color information content and outputting full resolution saliency maps. First, one-dimensional (1D)...
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...
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