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Hyperspectral Unmixing

Hyperspectral Unmixing is a procedure that decomposes the measured pixel spectrum of hyperspectral data into a collection of constituent spectral signatures (or endmembers) and a set of corresponding fractional abundances. Hyperspectral Unmixing techniques have been widely used for a variety of applications, such as mineral mapping and land-cover change detection.

Source: An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Papers

Showing 4150 of 113 papers

TitleStatusHype
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review0
Fast and Structured Block-Term Tensor Decomposition For Hyperspectral Unmixing0
GAUSS: Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness0
Spectral Unmixing of Hyperspectral Images Based on Block Sparse Structure0
Deep Hyperspectral Unmixing using Transformer NetworkCode1
SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images0
Deep Deterministic Independent Component Analysis for Hyperspectral UnmixingCode0
Smoothed Separable Nonnegative Matrix FactorizationCode0
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation0
HYPERION: Hyperspectral Penetrating-type Ellipsoidal Reconstruction for Terahertz Blind Source Separation0
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