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Found 3 papers, 1 papers with code
Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
Experimental results demonstrate the accuracy and efficiency of our proposed method compared to the state-of-the-art detection methods.
Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk
Based on the hierarchical MERW (HMERW), we propose a small target detection method as follows.
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
We combine the popular contrastive learning method (prototypical contrastive learning) and the classic representation learning method (autoencoder) to design an unsupervised feature learning network for hyperspectral classification.
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