30 October 2009 A hybrid model for analyzing urban land use change based on fuzzy reasoning and cellular automata
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983F (2009); doi: 10.1117/12.832398
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Urban land use change is composed of a series of distinctive mutual transformation process, which has a dominant trend to transfer from non-urban construction land to urban construction land. However, the land use transition is not a direct change process from a certain land-use type to another one in a narrow area, but has a gradual process range between any two land use types in a wide region. In this paper, a hybrid model for analyzing urban land use change based on fuzzy reasoning and cellular automata is proposed to simulate the change process of land use type in the transition areas of urban and rural area. Then, four transition rules are discussed in detail based on the feature of land conversion behaviour in the contiguity areas of urban and rural area. An example of application research is experimented in Hankou Town through remote sensing imagines in 1993, 1998 and 2003. The results suggest that the first transition rule is more accurate than other three rules in the whole, by which the transition probability depends on by the edge pixels from 1993 to 1998. But different types of land use have own most compatible transition rule among those four rules.
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Hao Wu, Yan Li, Qingqing Li, Xiaoling Chen, "A hybrid model for analyzing urban land use change based on fuzzy reasoning and cellular automata", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983F (30 October 2009); doi: 10.1117/12.832398; https://doi.org/10.1117/12.832398
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KEYWORDS
Fuzzy logic

Remote sensing

Climatology

Data processing

Geographic information systems

Statistical analysis

Associative arrays

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