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This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental...
Extracting the oil spills in SAR images has been challenged by the spatial heterogeneity caused by the speckles. In this paper, we present a novel variational formulation based on the local characteristics of SAR images for CV mode. The proposed method is aimed to solve the segmentation problem caused by SAR image speckles. Compared with the traditional CV model, the performance of the improved CV...
The reduction of SAR image speckle noise is an important issue. However, the existing denoising methods may cause the resolution and details loss. This paper proposes a SAR image speckle reduction method based on the guided image filtering. This method combines the edge-preserving property of guided filtering and can maintain the detail information meanwhile suppressing the speckle. Experimental results...
We present a method for detecting oil spills in a complex scene of SAR imagery, including segmenting oil spills, and avoiding false alarms. Segmentation is carried out using a multi-time and multi-hierarchical method by dividing the complex sea surface into bright sea and dark sea. Gray-based and edge-based segmentations are done to extract oil spills from bright and dark sea, respectively. The proposed...
As a special kind of complex images, the preprocessing of SAR (Synthetic Aperture Radar) image is an important part of image interpretation. Relative to the traditional SAR image processing method, this paper proposes a new pretreatment based on CFAR (Constant False Alarm Rate) and ROA (Ratio of Area) algorithm. This method first proceeds image segmentation using CFAR detection and then edge detection...
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