DocumentCode :
3806615
Title :
Hyperspectral detection of citrus damage with Mahalanobis kernel classifier
Author :
J. Gomez;J. Blasco;E. Molto;G. Camps-Valls
Author_Institution :
Inst. Valenciano de Investig. Agrarias, Valencia
Volume :
43
Issue :
20
fYear :
2007
fDate :
9/27/2007 12:00:00 AM
Firstpage :
1082
Lastpage :
1084
Abstract :
Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. The method is based on the combined use of hyperspectral images and the Mahalanobis kernel classifier. More accurate and reliable results compared to other methods are obtained in several scenarios and acquired images.
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20070906
Filename :
4338196
Link To Document :
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