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Proceedings Paper

Land use classification model for urban remote sensing image based on knowledge
Author(s): Rong Liu; Zuxun Zhang
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Paper Abstract

Land use plays an important role for the description and study of the urban environment. An urban environment is characterized by different land uses e.g. residential, commercial, recreational areas, parking areas, open spaces, etc. Ideally, the extent of each land use is defined by boundaries. In general, they highlight and distinguish between developed and reserved (non-developed) areas. In order to provide the status of urban land use and monitor urban land dynamic change detection for urban planning, many techniques and algorithms are employed for processing remote sensing images. In this paper, the design and classification of a knowledge base is discussed based on remote sensing system. In order to detect changed and unchanged area, some essentially hypotheses (output) and variables (features) of a knowledge base are established. A model of expert classification system for land change detection is described. Finally, the feasibility of the model is evaluated.

Paper Details

Date Published: 2 December 2005
PDF: 8 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604513 (2 December 2005); doi: 10.1117/12.650726
Show Author Affiliations
Rong Liu, Wuhan Univ. (China)
East China Institute of Technology (China)
Zuxun Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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