DocumentCode :
2307115
Title :
Fuzzy logic applied to detect olive trees in high resolution images
Author :
Moreno-Garcia, Juan ; Jimenez, Luis ; Rodriguez-Benitez, Luis ; Solana-Cipres, Cayetano J.
Author_Institution :
Dept. of Inf. Technol. & Syst., Univ. of Castilla-La Mancha, Toledo, Spain
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
7
Abstract :
This paper tries the use of the fuzzy logic to detect olive trees in Very High Resolution Images. More concretely, fuzzy numbers are used to manage the imprecise information of the input images. A method to summarize information in a fuzzy number from data is used, and after that, the obtained fuzzy number is used to process the Very High Resolution Images by using a k-neighbor strategy. In this first approach, tested images show encouraging results because all olive trees are detected.
Keywords :
fuzzy logic; image resolution; object detection; vegetation; fuzzy logic; high resolution image; k-neighbor strategy; olive tree detection; Approximation methods; Equations; Fuzzy logic; Image resolution; Mathematical model; Pixel; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584310
Filename :
5584310
Link To Document :
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