CLASSIFICATION AND FEATURE-EXTRACTION OF AVIRIS DATA

被引：73
|
作者：
BENEDIKTSSON, JA
SVEINSSON, JR
ARNASON, K
机构：
[1] Laboratory for Information Technology and Signal Processing, Engineering Research Institute, University of Iceland
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1995年 / 33卷 / 05期
关键词：
D O I：
10.1109/36.469483
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Processing of Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) data is discussed both in terms of feature extraction and classification. The recently proposed decision boundary feature extraction method is reviewed and then applied in experiments. Results of classifications for AVIRIS data from Iceland 1991 are given with emphasis on geological applications. The classifiers used include neural network methods and statistical approaches. The decision boundary feature extraction method shows excellent performance for these data.
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页码：1194 / 1205
页数：12
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