DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
Spectral unmixing is a technique for remotely sensed image interpretation that expresses each (possibly mixed) pixel as a combination of pure spectral signatures (endmembers) and their fractional abundances. In this paper, we develop a new technique for unsupervised unmixing which is based on a deep autoencoder network (DAEN). Our newly developed DAEN consists of two parts. The first part of the n...
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关键词
Hyperspectral imaging,Estimation,Computers,Training,Noise reduction
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