IMHE OpenIR  > 数字山地与遥感应用中心
Alternative TitleObject-oriented Landcover Classification of Multi-source Remote Sensing Data in International Trans-boundary River
孔博; 邓伟; 李爱农; 杨勇
Corresponding Author邓伟
Source Publication武汉大学学报(信息科学版)
Other Abstract



Land cover classification is not easy for its inner complexity resulting from huge terrain elevation in Kosi River as international trans-boundary river, it has possible to classification difficulties flowing through three countries. The emergency of multi-source remote sensing images and training algorithm make it possible to classify the land cover for its ample details based on object-oriented method. The paper is about land cover classification method selecting feature and optimal scale of segmentation, the innovation of this method lies in selection of proper scale parameter resulting from proper image data and certain classification order. The total accuracy has highly 90.05% compared with object oriented classification result and actual sampling point, which is a feasible method, and the classification results are more accurate.

Keyword面向对象分类 国际跨界河流 多源遥感数据 分割尺度
Subject AreaP237 ; P332
Indexed ByEI ; CSCD ; 北大中文核心
Funding Organization中国科学院重点部署资助项目(KZZD-EW-08-01) ; “一三五”方向性资助项目(sds-135-1205-03) ; 中国科学院战略性先导科技专项(B类)资助项目(XDB03030507) ; 国家自然科学基金资助项目(41301094) ; 国土资源部地学空间信息技术重点实验室开放研究基金资助项目(KLGSTT2014-06)
Accession numberAccession number:20153801281511
Citation statistics
Cited Times:7[CSCD]   [CSCD Record]
Document Type期刊论文
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
孔博,邓伟,李爱农,等. 多源数据的面向对象国际河流土地覆被分类研究[J]. 武汉大学学报(信息科学版),2015,40(3):1-8.
APA 孔博,邓伟,李爱农,&杨勇.(2015).多源数据的面向对象国际河流土地覆被分类研究.武汉大学学报(信息科学版),40(3),1-8.
MLA 孔博,et al."多源数据的面向对象国际河流土地覆被分类研究".武汉大学学报(信息科学版) 40.3(2015):1-8.
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