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REMOTE SENSING FOR LAND & RESOURCES    2004, Vol. 16 Issue (1) : 43-46     DOI: 10.6046/gtzyyg.2004.01.11
Technology and Methodology |
MARSH INFORMATION EXTRACTION BASED ON KNOWLEDGE DISCOVERY
HAN Min1, CHENG Lei1, LIU Quan2
1. School of Electronic and Information Engineering, Dalian University of Technology, Dalian, 116023, China;
2. Hydrology Bureau of Songliao Water Resources Committee, Changchun, 130021, China
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Abstract  This paper deals with the way of extracting reed marsh information in Zhalong wetland based on the knowledge of spectrum characteristics. Spectral analyses of TM image covering Zhalong wetland were conducted, which included analysis of spectrum average value characteristics, analysis of characteristics of different spectrum structures and analysis of the sampling profile. This led to the discovery of the spectrum character knowledge of the marsh in Zhalong wetland. With the results obtained, a model of marsh extraction based on knowledge discovery was established. The marsh information extraction shows that the model proposed in this paper can extract reed marsh in Zhalong wetland automatically, and the extraction accuracy can reach 98%.
Issue Date: 02 August 2011
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Cite this article:   
HAN Min, CHENG Lei, LIU Quan . MARSH INFORMATION EXTRACTION BASED ON KNOWLEDGE DISCOVERY[J]. REMOTE SENSING FOR LAND & RESOURCES,2004, 16(1): 43-46.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2004.01.11     OR     https://www.gtzyyg.com/EN/Y2004/V16/I1/43


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