Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification

Benchmark Model Rank Results
hyperspectral-image-classification-on-casiAMS-M2ESL#2Overall Accuracy: 88.82±0.93%AA@disjoint: 92.15±0.30%
hyperspectral-image-classification-on-houstonAMS-M2ESL#1Overall Accuracy: 88.82±0.93%AA@disjoint: 92.15±0.30%
hyperspectral-image-classification-on-indianAMS-M2ESL#22Overall Accuracy: 98.38±0.38%AA@5%perclass: 98.86±0.26%
hyperspectral-image-classification-on-paviaAMS-M2ESL#25Overall Accuracy: 98.09±0.30%AA@1%perclass: 97.86±0.47%