Mr. Chen Zeng Profile

Chen Zeng

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Proceedings Article | 13 October 2009 Paper

Application of high-resolution RS image in settlement extraction

Chen Zeng, Yanfang Liu, Yaolin Liu

Proceedings Volume 7492, 74920H (2009) https://doi.org/10.1117/12.838545

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Popularity of high resolution image makes it possible to interpret the internal land use condition within settlement. The categorization of settlement is firstly made as rural (mountain, plain) and urban (city village, living block) areas. Then object-based and generic network image processing methods are primarily used in the extraction from the merged Quickbird and SPOT high resolution image. With mathematical as well as geometrical model, indices such as building density, floor area ratio, green ratio and space ratio are extracted accordingly. Meanwhile, land use map, field survey and cadastral map are employed for the estimation and accuracy assessment. In the end, analysis and comparison are made for land use condition within settlement.

Proceedings Article | 29 December 2008 Paper

Urban land-use intensity extraction based on Quickbird high resolution image

Chen Zeng, Yanfang Liu

Proceedings Volume 7285, 72850V (2008) https://doi.org/10.1117/12.815998

KEYWORDS: Image segmentation, Image processing, Image resolution, Image classification, Feature extraction, Roads, Remote sensing, Spatial resolution, Image understanding, Image fusion

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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.

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