Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei

GE Jing-ru; QIN An-chen; ZHAO Xiong-wei; SUN Qiu-hua; LI Ming; ZHANG Rui; JIA Zhe

Dec. 2007

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2007 > 24(6): 681-685

GE Jing-ru, QIN An-chen, ZHAO Xiong-wei, SUN Qiu-hua, LI Ming, ZHANG Rui, JIA Zhe. Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei[J]. Journal of Zhejiang A&F University, 2007, 24(6): 681-685.

Citation:

GE Jing-ru, QIN An-chen, ZHAO Xiong-wei, SUN Qiu-hua, LI Ming, ZHANG Rui, JIA Zhe. Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei[J]. Journal of Zhejiang A&F University, 2007, 24(6): 681-685.

Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei

1. College of Landscape and Tourism, Agricultural University of Hebei, Baoding 071000, Hebei, China;
2. Department of Resource and Environment, Baoding University, Baoding 071000, Hebei, China

Received Date: 2007-01-23
Rev Recd Date: 2007-05-12

Abstract

Remote sensing interpretation method includes supervised classification and unsupervised classification. But both of the two methods had their own limitations. In order to obtain the information of land-use type accurately, the research applied a new method of remote sensing interpretation, i.e., the advanced overlay classification. The key to the method was that the overlay images should be recoded partly after supervised classification and unsupervised classification. That is to say the recode was only done on the representative object to make the overlay more adequately. Then another recode was needed after overlay classification. Only by this way good classification effect could be ensured. This paper took Taihangshan area of Hebei for example and compared the merits and defects of the three methods. The results indicated overlay classification was characterized by easy operation, less artificial influence and high precision. The paper provided a powerful technical support for the remote sensing interpretation in future.
- land-use type,
- remote sensing,
- overlay classification,
- image interpretation,
- Erdas Imagine software

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei

1. College of Landscape and Tourism, Agricultural University of Hebei, Baoding 071000, Hebei, China;

2. Department of Resource and Environment, Baoding University, Baoding 071000, Hebei, China

Received Date: 2007-01-23

Rev Recd Date: 2007-05-12

Key words:

Abstract: Remote sensing interpretation method includes supervised classification and unsupervised classification. But both of the two methods had their own limitations. In order to obtain the information of land-use type accurately, the research applied a new method of remote sensing interpretation, i.e., the advanced overlay classification. The key to the method was that the overlay images should be recoded partly after supervised classification and unsupervised classification. That is to say the recode was only done on the representative object to make the overlay more adequately. Then another recode was needed after overlay classification. Only by this way good classification effect could be ensured. This paper took Taihangshan area of Hebei for example and compared the merits and defects of the three methods. The results indicated overlay classification was characterized by easy operation, less artificial influence and high precision. The paper provided a powerful technical support for the remote sensing interpretation in future.

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Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei

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