DocumentCode
351105
Title
Moving toward a learning fuzzy building recognition system
Author
Levitt, Stephen ; Aghdasi, Farzin
Author_Institution
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
fYear
1999
fDate
36495
Firstpage
268
Lastpage
271
Abstract
The paper motivates and presents a new fuzzy approach to the task of recognizing buildings in monocular greyscale aerial images. We motivate our fuzzy system, FuzzBuRS, by demonstrating that the building recognition task is an approximately formulated problem. We also show that building recognition systems are capable of taking advantage of machine learning techniques and propose learning extensions to our system
Keywords
architecture; fuzzy set theory; image recognition; learning (artificial intelligence); FuzzBuRS; approximately formulated problem; building recognition task; fuzzy approach; learning extensions; learning fuzzy building recognition system; machine learning techniques; monocular greyscale aerial images; Africa; Buildings; Data mining; Detectors; Feature extraction; Fuzzy systems; Image edge detection; Image recognition; Machine learning; Machine vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-5578-4
Type
conf
DOI
10.1109/KES.1999.820175
Filename
820175
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