中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Knowledge-based land use/cover classification of remote sensing image in kenli, shandong province, china

文献类型:期刊论文

作者Li Jing; Zhao Gengxing; Yang Peiguo
刊名Chinese science bulletin
出版日期2006-11-01
卷号51页码:218-224
关键词Knowledge The yellow river delta The kenli county Land use and land cover change (lucc) Remote sensing Spectral characteristic
ISSN号1001-6538
通讯作者Li jing(lijing.04b@igsnrr.ac.cn)
英文摘要Quantitative remote sensing methods have been widely adopted for land use/cover information extraction. however, in the yellow river delta, spectral confusions between different surface features are common, which always introduce errors into the ordinary automatic spectral classification. a knowledge-based land use/cover classification is tried. based on a systematic analysis of the spectral characteristics of different land use/cover types in the study area, several index models derived from tm digital data of kenli county are built, which can make pixels of certain land use/cover types enhanced. with the combination of the index models, the expert knowledge of the area and some ancillary data, such as land use maps and soil maps based on ground surveys, rules of every class are determined to extract the land use/cover information. accuracy evaluation shows that without any manual modification, the land use/cover information determined with remote sensing is 81.8% and accuracy for the spatial distribution of land use/cover cross checked with a random sample is 84.5%. therefore, this approach provides an effective means for land use/cover information extraction in the yellow river delta and can be used as reference for other areas where spectral confusions commonly exist.
WOS关键词YELLOW-RIVER DELTA ; AREA ; TM
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
语种英语
WOS记录号WOS:000242719500024
出版者SCIENCE CHINA PRESS
URI标识http://www.irgrid.ac.cn/handle/1471x/2378864
专题中国科学院大学
通讯作者Li Jing
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China
2.Shandong Agr Univ, Coll Resources & Environm, Tai An 271080, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li Jing,Zhao Gengxing,Yang Peiguo. Knowledge-based land use/cover classification of remote sensing image in kenli, shandong province, china[J]. Chinese science bulletin,2006,51:218-224.
APA Li Jing,Zhao Gengxing,&Yang Peiguo.(2006).Knowledge-based land use/cover classification of remote sensing image in kenli, shandong province, china.Chinese science bulletin,51,218-224.
MLA Li Jing,et al."Knowledge-based land use/cover classification of remote sensing image in kenli, shandong province, china".Chinese science bulletin 51(2006):218-224.

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来源:中国科学院大学

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