Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

Song, X, Aryal, Sunil, Ting, KM, Liu, Z and He, B 2021, Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest, IEEE Transactions on Geoscience and Remote Sensing, pp. 1-16, doi: 10.1109/tgrs.2021.3104998.

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Title Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest
Author(s) Song, X
Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Ting, KM
Liu, Z
He, B
Journal name IEEE Transactions on Geoscience and Remote Sensing
Start page 1
End page 16
Total pages 16
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2021
ISSN 0196-2892
1558-0644
Notes Early Access Article
Language eng
DOI 10.1109/tgrs.2021.3104998
Indigenous content off
Field of Research 080109 Pattern Recognition and Data Mining
080106 Image Processing
0404 Geophysics
0906 Electrical and Electronic Engineering
0909 Geomatic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30154870

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