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Pretraining for Hyperspectral Convolutional Neural Network Classification.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (5): 2798-2810 (2018)

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A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (5): 2812-2831 (2016)A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (11): 6712-6731 (2016)Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at ~900 nm as an Indicator of Mineralogy., , and . IEEE Trans. Geosci. Remote. Sens., 52 (5): 2843-2857 (2014)Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders., , , , and . Remote Sensing, 11 (7): 864 (2019)Spectral curve-based endmember extraction method., , , and . WHISPERS, page 1-4. IEEE, (2015)Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development., , , , , , and . Remote. Sens., 15 (5): 1209 (March 2023)Embedded feature selection of hyperspectral bands with boosted decision trees., and . IGARSS, page 2361-2364. IEEE, (2011)Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes., and . ICONIP (2), volume 6444 of Lecture Notes in Computer Science, page 684-691. Springer, (2010)A Probabilistic Framework for Fusing Classifications Derived From Multi-Temporal Hyperspectral Imagery., , and . WHISPERS, page 1-5. IEEE, (2018)Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates., , , and . IEEE Trans. Image Processing, 25 (12): 5563-5575 (2016)