IEEE - Institute of Electrical and Electronics Engineers, Inc. - Anomaly detection and classification for hyperspectral imagery

Author(s): Chein-I Chang ; Shao-Shan Chiang
Sponsor(s): IEEE Geoscience and Remote Sensing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2002
Volume: 40
Page Count: 12
Page(s): 1,314 - 1,325
ISSN (Paper): 0196-2892
ISSN (Online): 1558-0644
DOI: 10.1109/TGRS.2002.800280
Regular:

Anomaly detection becomes increasingly important in hyperspectral image analysis, since hyperspectral imagers can now uncover many material substances which were previously unresolved by... View More

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