面向基元的高空间分辨率矿区遥感影像土地利用分类

陈启浩; 刘志敏; 刘修国; 罗红霞; 高伟; 王红平

doi:10.3799/dqkx.2010.055

Volume 35 Issue 3

May 2010

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Article Navigation > Earth Science > 2010 > 35(3): 453-458

CHEN Qi-hao, LIU Zhi-min, LIU Xiu-guo, LUO Hong-xia, GAO Wei, WANG Hong-ping, 2010. Element-Oriented Land-Use Classification of Mining Area by High Spatial Resolution Remote Sensing Image. Earth Science, 35(3): 453-458. doi: 10.3799/dqkx.2010.055

Citation:

CHEN Qi-hao, LIU Zhi-min, LIU Xiu-guo, LUO Hong-xia, GAO Wei, WANG Hong-ping, 2010. Element-Oriented Land-Use Classification of Mining Area by High Spatial Resolution Remote Sensing Image. Earth Science, 35(3): 453-458. doi: 10.3799/dqkx.2010.055

Citation:

CHEN Qi-hao, LIU Zhi-min, LIU Xiu-guo, LUO Hong-xia, GAO Wei, WANG Hong-ping, 2010. Element-Oriented Land-Use Classification of Mining Area by High Spatial Resolution Remote Sensing Image. Earth Science, 35(3): 453-458. doi: 10.3799/dqkx.2010.055

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Element-Oriented Land-Use Classification of Mining Area by High Spatial Resolution Remote Sensing Image

doi: 10.3799/dqkx.2010.055

CHEN Qi-hao^{1, 2
,},
LIU Zhi-min¹,
LIU Xiu-guo^{1, 2},
LUO Hong-xia¹,
GAO Wei^{1, 2},
WANG Hong-ping^{1, 2}

1.
Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China
2.
Engineering Research Center of GIS Software and Applications, Ministry of Education, Wuhan 430074, China

Received Date: 2010-01-15
Publish Date: 2010-05-01

Abstract

Abstract

For the purpose of rational exploitation of mineral resources and effective monitor of ecological environment in mining areas, we did experiments about land-use classification of the high spatial resolution airborne image from a mining area in Heng County of Guangxi province using element-oriented method. By optimizing the evolution of multi-scale fractal network segment process, two levels of image elements were extracted efficiently. Based on the multi-scale image elements, the land-use classification knowledge base of the study area was established through analyzing spectral, spatial and class-relation features in this area. The classification precision improved from 53% to 90% by decision supporting fuzzy logic reasoning of the knowledge base. The experiments show that the element-oriented method can obtain high precision land-use classification for taking full advantage of various features of the mining area from the high spatial resolution image.
- high spatial resolution,
- element-oriented,
- land-use classification of mining area,
- fractal net evolution approach,
- knowledge base

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References(16)

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