High Resolution Satellite Data for MappingLanduse/Land-cover in the Rural-Urban Fringeof the Greater Toronto Area
Landuse and land-cover classification from high resolution imagery has been seen as challenging by theremote sensing society. The high variability from pixel to pixel makes the use of pixel-based classifiersobsolete. Object-based classifiers along with rule-based descriptors can be used to overcome...
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Format: | Others |
Language: | English |
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KTH, Geodesi och satellitpositionering
2006
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199862 |