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《Journal of Hainan Normal University(Natural Science)》 2017-04
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The Research of Classification and Change Detection of Wetland Based on Object-oriented Remote Sensing Image

QU Bin;LI Xintong;School of Geographical Science,Fujian Normal University;  
With support of object-oriented technology,the article uses remote sensing image of multi-feature fusion wetland classification and extraction to get the result of wetland change in two periods. The overall accuracy of the Aster image in the first period is 87% and the Kappa coefficient is 0. 85; the overall accuracy of the GF image in the second period is87% and the Kappa coefficient is 0. 83. By comparison and calculation,the research finds that the total wetland area is reduced in Long Xiang Island of Fuzhou city,and there is a significant change in the rivers and beaches,with an increase of5. 6% in rivers area and 6. 8% reduction in beach area. This study can grasp the wetland situation,provide some decision support for the development and protection of wetland.
【Fund】: 国家重点研发计划重点专项(2016YFC0502905)
【CateGory Index】: X87
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