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