Title :
A knowledge-based vision system for detecting land changes at urban fringes
Author_Institution :
Sch. of Eng., Guelph Univ., Ont., Canada
fDate :
1/1/1993 12:00:00 AM
Abstract :
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
Keywords :
computer vision; demography; knowledge based systems; remote sensing; cover change detection; design strategy; image analysis; knowledge-based vision system; land changes; land use; manipulation; preprocessing; remote sensing; spatial representation; system structure; urban development; urban fringes; Application software; Digital images; Earth; Expert systems; Image analysis; Image sequence analysis; Machine vision; Remote monitoring; Remote sensing; Satellites;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
