RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2008, Vol. 17 >> Issue (3): 370-370.

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ON THE REMOTE SENSING CLASSIFICATION METHOD OF DONGTING LAKE WETLAND BASED ON KNOWLEDGE

WANG Hongjuan1,2, JIANG Jiahu1, HUANG Qun1   

  • Received:1900-01-01 Revised:1900-01-01 Online:2008-05-20

Abstract:

Remote sensing data based land cover classification in wetland areas is a difficult problem in the research area of remote sensing.In this paper,the rule of hyperspectral curves of different types of wetland in Dongtinghu Lake were analyzed,a model of decision tree for the final classification was constructed by the Erdas Image expert classification,and vegetation classification supported by GIS data and phonological information was made by using 2seasonal ETM data of Dongtinghu Lake wetland.By the use of expert classification system provided by Erdas Image software,the image was classified into water area,mudflat,protection forest beach,〖WTBX〗Carem spp〖WTBZ〗 beach,〖WTBX〗Phragmites〖WTBZ〗 beach,〖WTBX〗Carex〖WTBZ〗 beach and other water body according to layered algorithm.The expert classification based on rules can extract wetland types at one time using multiconditions,save the time of data processing and improve the precision of classification compared with other ways.The final classification result by the proposed method is reliable.

Key words: Dongting Lake wetland, expert classification, decision tree

[1] LI Meng-ying, HU Yong, WANG Zheng-yu. STUDY ON VEGETATION CLASSIFICATION IN SHENNONGJIA FOREST DISTRICT BASED ON C5.0 DECISION TREE AND HJ-1 A/B DATA [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(07): 1070-1077.
[2] LI Min, ZHANG Can-ming, LI Jiao, DENG Xue-jian. WANZIHU WETLAND ECOSYSTEM MANAGEMENT IN TIME PERIOD BASED ON FLOODING FEATURES [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(05): 769-776.
[3] JIA Zelu, . EXPERT INFORMATION SYSTEM FOR LAND GRADING ON THE BASIS OF GIS AND SDM INTEGRATION  [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(3): 323-323.
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