A knowledge-based vision system for detecting land changes at urban fringes

An experimental vision system for remote sensing land use/cover change detection is presented. The system was designed to monitor the processes of urban development. The design strategy, system structure, and image analysis sequence are addressed. Some experimental results are presented. Techniques are described in detail which were aimed at addressing the key aspects to constructing a knowledge-based vision system: preprocessing, spatial representation and manipulation, and incorporating ancillary data. >

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