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Spectral–Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest
journal contribution
posted on 2022-01-01, 00:00 authored by X Song, Sunil AryalSunil Aryal, K M Ting, Z Liu, B HeSpectral–Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest
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Journal
IEEE Transactions on Geoscience and Remote SensingVolume
60Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPublisher DOI
ISSN
0196-2892eISSN
1558-0644Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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Keywords
Science & TechnologyPhysical SciencesTechnologyGeochemistry & GeophysicsEngineering, Electrical & ElectronicRemote SensingImaging Science & Photographic TechnologyEngineeringDetectorsHyperspectral imagingAnomaly detectionForestryFeature extractionVegetationTensorshyperspectral image (HSI)isolation forest (iForest)spectral-spatial informationLOW-RANKRX-ALGORITHMREPRESENTATIONFEATURESGeophysics
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