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
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.
于欢, 孔博, 杨德生. 基于规则替换法的多源遥感数据地表覆盖信息提取[J]. 国土资源遥感, 2011, 23(4): 87-91.
YU Huan, KONG Bo, YANG De-sheng. Land-cover Information Extraction Using Multi-source Remote Sensing Images Based on Rule-based Substitution Methods. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 87-91.
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2011, Vol. 23 
