Operational U-Nets integrate Self-ONN layers into a compact U-Net to deliver better active fire detection performance with lower computational cost than standard approaches.
Graph-embedded subspace support vector data description
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2023 2verdicts
UNVERDICTED 2representative citing papers
Subspace learning-based one-class classifiers are applied to hyperspectral image data for land use classification to jointly address high dimensionality and label imbalance.
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Improved Active Fire Detection using Operational U-Nets
Operational U-Nets integrate Self-ONN layers into a compact U-Net to deliver better active fire detection performance with lower computational cost than standard approaches.
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Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Subspace learning-based one-class classifiers are applied to hyperspectral image data for land use classification to jointly address high dimensionality and label imbalance.