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Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields.

, and . CoRR, (2016)

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Machine learning based hyperspectral image analysis: A survey., , and . CoRR, (2018)Dual-Channel Densenet for Hyperspectral Image Classification., , , , and . IGARSS, page 2595-2598. IEEE, (2018)A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes., and . ICIP, page 2216-2220. IEEE, (2016)Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields., and . WHISPERS, page 1-6. IEEE, (2016)Multitask learning of vegetation biochemistry from hyperspectral data., and . WHISPERS, page 1-5. IEEE, (2016)A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis., and . CoRR, (2018)EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery., , and . CoRR, (2018)Spectral Super-Resolution with Optimized Bands., , and . Remote Sensing, 11 (14): 1648 (2019)Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth., , and . Remote Sensing, 11 (13): 1614 (2019)Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification., and . IGARSS, page 3692-3695. IEEE, (2017)