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