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
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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. |
入库方式: iSwitch采集
来源:中国科学院大学
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