Title :
A Genetic Programming approach for coffee crop recognition
Author :
Santos, J.A. ; Faria, F. ; Calumby, R. ; Da S Torres, Ricardo ; Lamparelli, R.A.C.
Author_Institution :
RECOD Lab., Univ. of Campinas, Campinas, Brazil
Abstract :
This work presents a new approach for automatic recognition of coffee crops in RSIs. The method applies an approach based on Genetic Programming (GP) to combine texture and spectral information encoded by image descriptors. Experiments show that the proposed method yields slightly better results than the traditional MaxVer approach.
Keywords :
crops; genetic algorithms; geophysical image processing; image texture; remote sensing; MaxVer approach; automatic recognition; coffee crop recognition; genetic programming; image descriptor; spectral information; texture; Accuracy; Agriculture; Genetic programming; Remote sensing; Satellites; Tiles; Training;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650273
