Intraclass Similarity Structure Representation-Based Hyperspectral Imagery Classification With Few Samples

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1045-1054, 2020.

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    TrainingFeature extractionData modelsRemote sensingSupport vector machinesMore(1+)

    Abstract:

    Hyperspectral imagery (HSI) classification is one of the fundamental applications in remote sensing domain, which aims at predicting the labels of unlabeled pixels in an image with a classifier trained on a certain amount of labeled pixels. However, due to the expensive cost on manual labeling, only limited labeled pixels can be obtained ...More

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