Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection
IEEE Transactions on Geoscience and Remote Sensing(2020)
摘要
Hyperspectral images (HSIs) can provide discriminative spectral signatures regarding the physical nature of different materials. It is this unique nature that makes HSIs to be of great interest in many fields. However, HSI application faces various challenges due to high dimensionality, redundant information, noisy bands, and insufficient samples. To address these problems, we propose an unsupervi...
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关键词
Hyperspectral imaging,Feature extraction,Object detection,Optimization,Principal component analysis,Noise measurement
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