Contrastive learning combined with DenseNet for open-set classification of hyperspectral images
Information Sciences|更新时间:2025-12-19
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Contrastive learning combined with DenseNet for open-set classification of hyperspectral images
“In the field of hyperspectral image classification, experts have proposed a new method that combines contrastive learning with DenseNet, effectively improving the ability to recognize unknown categories.”
Optics and Precision EngineeringVol. 33, Issue 23, Pages: 3737-3753(2025)
LIU Chengyang,ZHAO Lin,YU Liang,et al.Contrastive learning combined with DenseNet for open-set classification of hyperspectral images[J].Optics and Precision Engineering,2025,33(23):3737-3753.
LIU Chengyang,ZHAO Lin,YU Liang,et al.Contrastive learning combined with DenseNet for open-set classification of hyperspectral images[J].Optics and Precision Engineering,2025,33(23):3737-3753. DOI: 10.37188/OPE.20253323.3737. CSTR: 32169.14.OPE.20253323.3737.
Contrastive learning combined with DenseNet for open-set classification of hyperspectral images
Collaborative classification of hyperspectral and LiDAR data based on CNN-transformer
Specral-spatial classification of hyperspectral imagery with hybrid architecture of 3D-CNN and Transformer
Hyperspectral unmixing with shared endmember variability in homogeneous region
Target detection using spectral unmixing
Partial optimal transport-based domain adaptation for hyperspectral image classification
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