閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2014, Vol. 29 鈥衡�� Issue (1): 114-121.DOI: 10.11873/j.issn.1004-0323.2014.1.0114

鈥� 閬ユ劅搴旂敤 鈥� 涓婁竴绡�    涓嬩竴绡�

澶箹婀栨花鏁忔劅鍖虹殑鍦熷湴鍒╃敤閬ユ劅鍒嗙被鐮旂┒顎�

鐜嬪皯浼�1,寮犳檽绁�1,鏉ㄦ檽鑻�2
  

  1. (1.娌虫捣澶у鍦扮悊淇℃伅绉戝涓庡伐绋嬬爺绌舵墍,姹熻嫃 鍗椾含 210098;顎�
    2.澶嶆棪澶у鐜绉戝涓庡伐绋嬬郴,涓婃捣 200433)
  • 鏀剁鏃ユ湡:2012-12-18 淇洖鏃ユ湡:2013-07-24 鍑虹増鏃ユ湡:2014-02-28 鍙戝竷鏃ユ湡:2014-05-14
  • 浣滆�呯畝浠�:鐜嬪皯浼�(1987-),濂�,娌冲崡婵槼浜�,纭曞+鐮旂┒鐢�,涓昏浠庝簨鍦扮悊淇℃伅绯荤粺鍜岄仴鎰熺爺绌躲�侲mail:wangshaowei@x\|gis.com.cn銆�
  • 鍩洪噾璧勫姪:

    娌虫捣澶у涓ぎ楂樻牎鍩洪噾椤圭洰(2009B00414),澶嶆棪澶у“985宸ョ▼”涓夋湡椤圭洰(2012SHKXQN009)銆�

Land Use Classification based on Remote Sensing Image in Taihu Lake Lakeside Sensitive Area

Wang Shaowei1,Zhang Xiaoxiang1,Yang Xiaoying2
  

  1. (1.Institute of Geographical Information Science and Engineering,Hohai University,Nanjing 210098,China;顎�
    2.Department of Environmental Science and Engineering,Fudan University,Shanghai 200433,China)
  • Received:2012-12-18 Revised:2013-07-24 Online:2014-02-28 Published:2014-05-14

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鍏抽敭璇�: 闈㈠悜瀵硅薄鍒嗙被, ALOS, 澶氬昂搴﹀垎鍓�, 鍐崇瓥鏍�, 鍦熷湴鍒╃敤, 婀栨花鏁忔劅鍖�

Abstract:

In recent years,water pollution has made great crisis in Taihu Lake Watershed.Land use is seemed as an important factor for the environmental changes,so the land use classification study of Taihu Lake lakeside sensitive area has great significance.According to the local circumstance of land use and the research objectives in the study area,a novel land use/land cover classification schema is established for the Wujingang River & Zhihugang River Watershed in the upstream areas of Taihu Lake Watershed,then the reliable watershed land cover/land use information can be acquired by the means of images classification based on medium\|resolution remote sensing images.In this study,ALOS multi\|spectral remote sensing images in 2010 are used for the data sources,object\|oriented image classification are performed after the multi\|resolution image segmentation,then several classification rules based on decision tree methods are built to effectively extract the land use/ land cover information such an construction lands,road and water body.The classification results show that based on such an object\|oriented image classification method has a higher accuracy,and the overall accuracy is 88%.At the same time,the classification accuracy of the main land use types such as cropland,rural residence and urban residence are also higher.This study has some practical value to the watershed land use,and it also provides a methodological reference for land use classification of the whole Taihu Lake watershed or other plain river network regions.

Key words: Object-oriented classification, ALOS, Multi-scale segmentation, Decision trees;Land use, Lakeside sensitive areas

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