Land use classification model for urban remote sensing image based on knowledge

Rong Liu; Zuxun Zhang

doi:10.1117/12.650726

2 December 2005 Land use classification model for urban remote sensing image based on knowledge

Rong Liu, Zuxun Zhang

Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 604513 (2005) https://doi.org/10.1117/12.650726
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Rong Liu and Zuxun Zhang "Land use classification model for urban remote sensing image based on knowledge", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 604513 (2 December 2005); https://doi.org/10.1117/12.650726

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