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Proceedings Paper

Urban land-use intensity extraction based on Quickbird high resolution image
Author(s): Chen Zeng; Yanfang Liu
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Paper Abstract

The abundance of high resolution image information and the intensity of urban spatial system can be combined organically in the process of image understanding, information extraction and quota measurement. The evaluation indices of urban land use intensity extracted from Quickbird image include building density, floor ratio area, green ratio, vacancy ratio, and etc. Firstly, land use condition in the research area is acquired through the overlay of Quickbird image and Wuhan land use map. Secondly, the study adopts spectral threshold segmentation method to extract building shadow, object-oriented classification method to obtain building base area, shadow-based height reversion approach to estimate building height in typical urban residential block and object-oriented segmentation and classification approach to estimate concerned indices in city village. In the end, the comparison and discussion of urban land intensity are made according to BD and FAR in urban residential block and city village respectively. It is concluded that FAR (floor ratio area) in urban residential block can be planned higher and BD (building density) in city village should be lower according to the present planning regulations in Wuhan.

Paper Details

Date Published: 29 December 2008
PDF: 10 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850V (29 December 2008); doi: 10.1117/12.815998
Show Author Affiliations
Chen Zeng, Wuhan Univ. (China)
Yanfang Liu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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