Title :
Dedicated classification method for thermal hyperspectral imaging
Author :
Shimoni, M. ; Perneel, C.
Author_Institution :
Dept. of Electr. Eng., Signal & Image Centre, Brussels, Belgium
Abstract :
The results present in this paper, show the improvement of 15%-17% in the accuracy for most of the classes while applying SEM-S method.
Keywords :
geophysical image processing; image classification; SEM-S method; dedicated classification method; thermal hyperspectral imaging; Accuracy; Hyperspectral imaging; Image segmentation; Standards; Thermal sensors; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351275
