Urban landscape pattern change based on multi-temporal CBERS imagery - Taking Xuzhou City as an example

Pei Jun Du; Lin Shan Yuan; Hua Peng Zhang; Kun Tan; Zuo Xia Yin

Urban landscape pattern change based on multi-temporal CBERS imagery - Taking Xuzhou City as an example

Pei Jun Du^*
, Lin Shan Yuan
, Hua Peng Zhang
, Kun Tan
, Zuo Xia Yin

^*Corresponding author for this work

China University of Mining and Technology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

CBERS CCD and IRMSS images were classified using Maximum Likelihood Classifier, Support Vector Machine and Object-Oriented Classifiers, and the classification results of SVM were used to further landscape pattern analysis of Xuzhou city. Urban landscape pattern and its dynamic change were analyzed based on multi-temporal analysis on landscape pattern indices derived from the classification results of 2001, 2005 and 2007. Furthermore, multi-scale data of CBERS sensors were used for landscape pattern analysis and statistical comparison. It proves that CBERS data is suitable for urban landscape analysis.

Original language	English
Pages (from-to)	106-113
Number of pages	8
Journal	Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology
Volume	38
Issue number	1
State	Published - Jan 2009
Externally published	Yes

Keywords

CBERS
Classification
Landscape pattern
Support vector machine

Cite this

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title = "Urban landscape pattern change based on multi-temporal CBERS imagery - Taking Xuzhou City as an example",

abstract = "CBERS CCD and IRMSS images were classified using Maximum Likelihood Classifier, Support Vector Machine and Object-Oriented Classifiers, and the classification results of SVM were used to further landscape pattern analysis of Xuzhou city. Urban landscape pattern and its dynamic change were analyzed based on multi-temporal analysis on landscape pattern indices derived from the classification results of 2001, 2005 and 2007. Furthermore, multi-scale data of CBERS sensors were used for landscape pattern analysis and statistical comparison. It proves that CBERS data is suitable for urban landscape analysis.",

keywords = "CBERS, Classification, Landscape pattern, Support vector machine",

author = "Du, \{Pei Jun\} and Yuan, \{Lin Shan\} and Zhang, \{Hua Peng\} and Kun Tan and Yin, \{Zuo Xia\}",

year = "2009",

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pages = "106--113",

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T1 - Urban landscape pattern change based on multi-temporal CBERS imagery - Taking Xuzhou City as an example

AU - Du, Pei Jun

AU - Yuan, Lin Shan

AU - Zhang, Hua Peng

AU - Tan, Kun

AU - Yin, Zuo Xia

PY - 2009/1

Y1 - 2009/1

N2 - CBERS CCD and IRMSS images were classified using Maximum Likelihood Classifier, Support Vector Machine and Object-Oriented Classifiers, and the classification results of SVM were used to further landscape pattern analysis of Xuzhou city. Urban landscape pattern and its dynamic change were analyzed based on multi-temporal analysis on landscape pattern indices derived from the classification results of 2001, 2005 and 2007. Furthermore, multi-scale data of CBERS sensors were used for landscape pattern analysis and statistical comparison. It proves that CBERS data is suitable for urban landscape analysis.

AB - CBERS CCD and IRMSS images were classified using Maximum Likelihood Classifier, Support Vector Machine and Object-Oriented Classifiers, and the classification results of SVM were used to further landscape pattern analysis of Xuzhou city. Urban landscape pattern and its dynamic change were analyzed based on multi-temporal analysis on landscape pattern indices derived from the classification results of 2001, 2005 and 2007. Furthermore, multi-scale data of CBERS sensors were used for landscape pattern analysis and statistical comparison. It proves that CBERS data is suitable for urban landscape analysis.

KW - CBERS

KW - Classification

KW - Landscape pattern

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/60149087404

M3 - 文章

AN - SCOPUS:60149087404

SN - 1000-1964

VL - 38

SP - 106

EP - 113

JO - Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology

JF - Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology

IS - 1

ER -

Urban landscape pattern change based on multi-temporal CBERS imagery - Taking Xuzhou City as an example

Abstract

Keywords

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