Litcius/Paper detail

Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm

Pangambam Sendash Singh, Karthikeyan Subbiah

2021Neural Computing and Applications29 citationsDOI

Topics & Concepts

Hyperspectral imagingArtificial intelligencePattern recognition (psychology)Computer scienceAutoencoderSpectral bandsDimensionality reductionClassifier (UML)Redundancy (engineering)Genetic algorithmCurse of dimensionalitySegmentationSelection (genetic algorithm)Support vector machineDeep learningMachine learningRemote sensingGeologyOperating systemRemote-Sensing Image ClassificationRemote Sensing and Land UseAdvanced Image Fusion Techniques
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm | Litcius