Litcius/Paper detail

Deep anomaly detection in hyperspectral images based on membership maps and object area filtering

Mahdi Yousefan, Hamid Esmaeili Najafabadi, Hossein Amirkhani, Henry Leung, Vahid Hajihashemi

2021Expert Systems with Applications16 citationsDOI

Topics & Concepts

Artificial intelligenceComputer scienceHyperspectral imagingAnomaly detectionPattern recognition (psychology)PixelDeep learningConvolutional neural networkPrincipal component analysisFilter (signal processing)Image (mathematics)Object (grammar)Dimension (graph theory)Anomaly (physics)Similarity (geometry)Object detectionComputer visionMathematicsCondensed matter physicsPure mathematicsPhysicsRemote-Sensing Image ClassificationRemote Sensing and Land UseAdvanced Chemical Sensor Technologies
Deep anomaly detection in hyperspectral images based on membership maps and object area filtering | Litcius