The Study of Extracting River Nets Based on Intelligence Ant Colony Algorithm on MODIS Remote Sensing Images |
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Authors: | SHI Xiang-yong LI Xian-hua ZHENG Cheng-jian |
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Affiliation: | Research Center of Remote Sensing and Spatial Information Science, Shanghai University, Shanghai 200072, China |
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Abstract: | How to extract river nets effectively is of great significance for water resources investigation,flood forecasting and enviromental monitoring,etc.In the paper,combining with ant colony algorithm,a new approach of extracting river nets on moderate-resolution imaging spectroradiometer(MODIS)remote sensing images was proposed through analyzing two general extraction methods of river nets.The expriment results show that river nets can be optimized by ant colony algorithm efficiently,and difference ratio between the experimental vectorgraph and the data of National Fundamental Geographic Information System is down to 8.7%.The proposed algorithm can work for extracting river nets on MODIS remote sensing images effectively. |
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Keywords: | ant colony algorithm river nets MODIS remote sensing images |
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