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

Chen Zeng; Yanfang Liu

doi:10.1117/12.815998

29 December 2008 Urban land-use intensity extraction based on Quickbird high resolution image

Chen Zeng, Yanfang Liu

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850V (2008) https://doi.org/10.1117/12.815998
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

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.

Citation Download Citation

Chen Zeng and Yanfang Liu "Urban land-use intensity extraction based on Quickbird high resolution image", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850V (29 December 2008); https://doi.org/10.1117/12.815998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available