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Proceedings Paper

Novel urban land use/cover mapping approach based on the combination of fraction image and MNF image using decision tree method
Author(s): Su Li; Wenzheng Li; Jianjun Zhou; Dafang Zhuang
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Paper Abstract

Urban land use/cover mapping is very important and it is the base of further urban analysis and research. Whereas urban land use/cover mapping of using remotely sensed images having medium spatial resolution presents numerous challenges due to the intensive heterogeneity of urban landscapes. In order to solve the above challenges and improve the accuracy of urban land cover/use mapping, we proposed a novel approach. Firstly, fraction image is attained based on spectral mixture analysis, and normalized MNF image is gained based on spectral normalization of the origin image and MNF transform. Secondly, combination image is produced based on fraction image and normalized MNF image. Finally, we performed decision tree classification to the combination image and gained urban land use/cover mapping. An ETM+ image acquired in 2001 was used as data source and Nanjing City, China was selected as study area. The accuracy of classification result was validated using IKONOS images of the study area acquired in 2000 and was compared with the other three classification schemes. Results show that this decision tree classification scheme based on the combination image of fraction image and normalized MNF image is superior to the other classification schemes evidently.

Paper Details

Date Published: 14 November 2007
PDF: 9 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903M (14 November 2007); doi: 10.1117/12.752008
Show Author Affiliations
Su Li, Beijing Technology and Business Univ. (China)
Wenzheng Li, Beijing Technology and Business Univ. (China)
Jianjun Zhou, China Agricultural Univ. (China)
Dafang Zhuang, Institute of Geographic Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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