Spectral-spatial anomaly detection of hyperspectral data based on improved isolation forest

HIGHLIGHTS

• who: -Hyperspectral image (HSI and collaborators from the (UNIVERSITY) have published the article: Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest, in the Journal: (JOURNAL)
• what: The authors propose a novel Isolation Forest (IIF) algorithm the assumption that anomaly pixels are more susceptible to isolation than the background pixels. The proposed IIF is a modified version of the Isolation Forest (iForest) algorithm which addresses the poor performance of iForest in detecting local anomalies and anomaly detection in high-dimensional Further the authors propose a spectral-spatial anomaly detector IIF (SSIIFD) to . . .
  

   

  

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