Harbor Water Area Extraction From Pan-Sharpened Remotely Sensed Images Based on the Definition Circle Model
Harbor Water Area Extraction From Pan-Sharpened Remotely Sensed Images Based on the Definition Circle Model
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DOI：
10.1109/lgrs.2017.2728825
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发表时间：
2017-08
影响因子：
4.8
通讯作者：
Yin Zhuang;Penglin Wang;Yiding Yang;Hao Shi;He Chen;Fukun Bi
中科院分区：
文献类型：
--
作者：
Yin Zhuang;Penglin Wang;Yiding Yang;Hao Shi;He Chen;Fukun Bi
Harbor water area extraction is a key step in nearshore environment pollution surveillance using remote sensing image processing techniques. This letter proposes the definition circle (DC) model of color gradient to describe color fluctuations in harbor water surface areas based on pan-sharpened remote sensing images. The DC model includes two steps: center setting and radius tuning. In the center setting process, labeled training set pixels are selected in the red, green, and blue color space. Then, center setting is completed in the hue, saturation, and intensity color space using the perceptron model. In the radius tuning process, positive and negative sample pixels are used to tune the radius value. After these two steps, the DC model can describe the color gradient of a water surface area and provide accurate harbor water area extraction. A series of experiments shows that the proposed DC model is robust and performs better than other extraction methods based on pan-sharpened remote sensing images.
