研究论文
Pseudo-label generation guided semi-supervised network for hyperspectral image and LiDAR data classification
Xianghai Wang, Lu Wang, Yining Feng, Wei Cheng
Liaoning Normal University
来源Expert Systems with Applications
年份2025
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学术脉络
学科主题
工程Remote-Sensing Image Classification
Advanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques
参考文献 60
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
被引 626Christian Debes, Andreas Merentitis, Roel Heremans · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2014
A Computer Movie Simulating Urban Growth in the Detroit Region
被引 9,698Waldo Tobler · Economic Geography · 1970
Dropout: a simple way to prevent neural networks from overfitting
被引 34,241Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky · 2014
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引用本文 8
S3CRAD: Superpixel-guided background inpainting and spatial-spectral constrained representation for hyperspectral anomaly detection
被引 5Mingtao You, Yiming Yao, Dong Zhao · Optics and Lasers in Engineering · 2026
Cross-domain few-shot compact multi-modal feature fusion for hyperspectral images classification with supervised contrastive learning
被引 2Suhua Zhang, Zhikui Chen, Huicen Guo · Expert Systems with Applications · 2025
HiF2-FSLF: Hierarchical frequency fusion few-Shot learning framework for hyperspectral and lidar classification
被引 1Xianghai Wang, Xinyue Liu, Xiaohan Xie · Expert Systems with Applications · 2025
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