A sea-land segmentation scheme based on statistical model of sea
作者： Xin You , Weihai Li
DOI: 10.1109/CISP.2011.6100503
关键词: Artificial intelligence 、 Computer science 、 Statistical model 、 Scale-space segmentation 、 Segmentation-based object categorization 、 Segmentation 、 Computer vision 、 Image segmentation 、 Pattern recognition
摘要: Sea-land segmentation is a key step for target detection. Due to the complex texture and uneven gray value of land in optical remote sensing image, traditional sea-land algorithms often recognize as sea incorrectly. A new scheme presented this paper solve problem. This determines threshold according adaptively established statistical model area, removes incorrectly classified difference variance between sea. Experimental results show our has small computation complexity, it better performance higher robustness compared algorithms.
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