ELIMINATING THE DISTURBANCE OF VEGETATION INFORMATION BY SPECTRAL MIXTURE ANALYSIS BASED ON ANT COLONY ALGORITHM

XIA Hao-dong; XUE Yun; DENG Hui-juan; LIU Feng-jiao

Volume 18 Issue 1

Mar. 2012

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Article Navigation > Journal of Geomechanics > 2012 > 18(1): 72-78

LI Na, ZHOU Ping, 2015. HYDROCARBON MICROLEAKAGE INFORMATION EXTRACTION BASED ON ASTER DATA AND REFLECTANCE SPECTROSCOPY. Journal of Geomechanics, 21 (2): 218-227.

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XIA Hao-dong, XUE Yun, DENG Hui-juan, et al., 2012. ELIMINATING THE DISTURBANCE OF VEGETATION INFORMATION BY SPECTRAL MIXTURE ANALYSIS BASED ON ANT COLONY ALGORITHM. Journal of Geomechanics, 18 (1): 72-78.

LI Na, ZHOU Ping, 2015. HYDROCARBON MICROLEAKAGE INFORMATION EXTRACTION BASED ON ASTER DATA AND REFLECTANCE SPECTROSCOPY. Journal of Geomechanics, 21 (2): 218-227.

Citation:

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ELIMINATING THE DISTURBANCE OF VEGETATION INFORMATION BY SPECTRAL MIXTURE ANALYSIS BASED ON ANT COLONY ALGORITHM

1.
Cores & Samples Centre of Land & Resources, Sanhe 065201, China
2.
Hunan City University, Yiyang 413000, China

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Abstract

Abstract

In the research of extracting alteration information from remote sensing image, eliminating the disturbance of vegetation from image is important. In this paper, a spectral mixture analysis model is established based on ant colony algorithm, in order to eliminate the disturbance of vegetation. This model is applied to Jidi area in Huangnan City, Qinghai Province. Firstly, the ant-moving rule is defined. Secondly, the model of spectral mixture analysis based on ant colony algorithm is established. In the end, a new image without the disturbance of vegetation is plotted. Comparison of ETM image and result image shows that the disturbance of vegetation can be eliminated by the method.
- ant colony algorithm,
- Linear Spectrum Mixture Model,
- ETM,
- Jidi area in Qinghai

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ELIMINATING THE DISTURBANCE OF VEGETATION INFORMATION BY SPECTRAL MIXTURE ANALYSIS BASED ON ANT COLONY ALGORITHM

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