DocumentCode :
143442
Title :
Evaluating similarity measures for hyperspectral classification of tree species at Ordway-Swisher Biological Station
Author :
Kalantari, Leila ; Gader, Paul ; Graves, Sarah ; Bohlman, Stephanie
Author_Institution :
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2691
Lastpage :
2694
Abstract :
In this manuscript, we investigate which similarity measure discriminates the most between reflectance spectra of two sets of labeled hyperspectral pixels. We find preliminary evidence that shared nearest neighbor, a secondary similarity measure unknown to hyperspectral community, relatively helps the separability of a primary similarity measure such as radial basis function.
Keywords :
geophysical image processing; hyperspectral imaging; image classification; object detection; vegetation; Ordway-Swisher Biological Station; USA; hyperspectral classification; hyperspectral community; hyperspectral images; hyperspectral pixels; radial basis function; reflectance spectra; shared nearest neighbor; similarity measure evaluation; tree species; Artificial neural networks; Hyperspectral imaging; Q measurement; Standards; Terminology; Vegetation; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947029
Filename :
6947029
Link To Document :
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