| Technology Application |
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Land-cover Information Extraction Using Multi-source Remote Sensing Images Based on Rule-based Substitution Methods |
| YU Huan1, KONG Bo2, YANG De-sheng3 |
1. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;
2. Institute of Mountain Hazards and Environment, Chinese Academy of Science, Chengdu 610041, China;
3. Information Center of Chongqing Land Resources and Housing Administration Bureau, Chongqing 400015, China |
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Abstract With the purpose of effectively using multi-source remote sensing data to extract surface coverage information, this paper puts forward a rule-based substitution method to achieve land-cover information extraction accurately, which is based on principles of decision-making level multi-source remote sensing images fusion. Based on the classification experiments of freshwater wetlands in the Sanjiang plain regions, the authors verified the feasibility and applicability of this method, thus providing a new means for investigation and monitoring of land cover.
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Issue Date: 16 December 2011
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2011,
Vol. 23
