HIGHLIGHTS
- who: Hyperspectral Unmixing et al. from the Technology of Computers and Communications, University of have published the research: A New Deep Convolutional Network for Effective Hyperspectral Unmixing, in the Journal: (JOURNAL)
- what: The authors evaluate the performance of the newly developed networks on two types of synthetic data sets and three real images. The authors report the results of the average running time (including training and testing time) of different unmixing methods on synthetic data with and without pure pixels.
- how: D. Experiments with Samson Data Table VIII quantitatively compares the performance of . . .
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