most citedNonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders

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cs.CV2023★ 1 cited

Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders

Tingting Fang, Fei Zhu, Jie Chen

Unsupervised spectral unmixing consists of representing each observed pixel as a combination of several pure materials called endmembers with their corresponding abundance fraction…