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AssigneeBeijing University of Civil Engineering and Architecture
InventorsXueling Zhang, Lu Li
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A method for recognizing polluted seawater areas based on high-resolution remote sensing images includes performing automatic sea and land classification on a remote sensing image by using a supervised learning algorithm. The classification result reaches a higher precision level by processized iterative clustering compared to conventional methods. The method further includes combining a chlorophyll-associated normalized difference vegetation index, a brightness-associated normalized difference water shadow index, a segmentation-based image interpretation thought and a human visual saliency-based mechanism in remote sensing interpretation by virtue of a chlorophyll concentration difference of a seawater polluted area and surrounding seawater and a brightness difference of pollutant shadows. The seawater polluted area is extracted by threshold segmentation. An area where the water quality is good and a heavily polluted area are extracted. A pollution transition area is further extracted. The method provides convenience and an accurate reference for prevention and control of marine pollution.
A method for recognizing a seawater polluted area based on a high-resolution remote sensing image, the method:
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