Title :
Generation of land-cover descriptions for the classification of multisensor remote-sensing images
Author :
Pellegretti, Paolo ; Serpico, Sebastiano B. ; Vernazza, Gianni
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The paper deals with a learning system to acquire automatically the descriptions of objects to be recognized in remotely sensed images. These descriptions are in a symbolic form and use contextual properties and fuzzy logic descriptors to describe spectral properties. The system was tested on an Airborn Thematic Mapper (ATM) image of agricultural crops. The satisfactory results obtained in terms of classification accuracy witnessed the goodness of the approach and that the acquired descriptions are reliable. In particular, they can be employed as knowledge base for an expert classification system
Keywords :
environmental science computing; expert systems; farming; fuzzy logic; image recognition; learning (artificial intelligence); remote sensing; ATM image; Airborn Thematic Mapper image; agricultural crops; classification; contextual properties; expert classification system; fuzzy logic descriptors; knowledge base; land-cover descriptions; learning system; multisensor remote-sensing images; spectral properties; Crops; Fuzzy logic; Image classification; Image recognition; Learning systems; Machine learning; Pattern recognition; Remote sensing; Supervised learning; System testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322435
