Satellite image based land cover/land use classification of urban areas
This paper describes a mixture of connectionist and statistical techniques to perform land cover/land use classification of urban areas on satellite imagery. The developed system consists of 4 main stages: feature extraction; feature coding; feature selection; classification. Feature extraction is carried out via a Tree-Structured Self-Organizing Map algorithm. For feature selection a classification and regression trees (CART) based algorithm has been developed. The classification with the selected features is carried out with a multilayer perceptron model. The proposed hybrid system is tested on satellite images which cover the area around the city of Lisbon in Portugal, with promising classification results.
Bibliographic Reference: Paper presented: EANN 97, Stockholm (SE), June 16-18, 1997
Availability: Available from (1) as paper EN 40376 ORA
Record Number: 199711078 / Last updated on: 1997-09-16
Original language: en
Available languages: en