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Remote sensing of environment, ISSN 0034-4257, 2014, Volume 149, pp. 70 - 87
Journal Article
Remote Sensing, ISSN 2072-4292, 2016, Volume 8, Issue 4, p. 349
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2016, Volume 173, pp. 397 - 405
Although many endmember extraction algorithms have been proposed for hyperspectral images in recent years, there are still some problems in endmember... 
Hyperspectral image | Spectral variability | Endmember bundles | Reconstruction error | Endmember extraction | VARIABILITY | SALIENCY | TARGET DETECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Usage | Algorithms | Analysis | Remote sensing
Journal Article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISSN 1939-1404, 06/2015, Volume 8, Issue 6, pp. 2607 - 2617
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2004, Volume 5425, pp. 1 - 14
Conference Proceeding
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 09/2015, Volume 53, Issue 9, pp. 4985 - 4996
Journal Article
Journal Article
International Journal of Wildland Fire, ISSN 1049-8001, 2017, Volume 26, Issue 9, pp. 755 - 771
We collected field and remotely sensed data spanning 10 years after three 2003 Montana wildfires to monitor ecological change across multiple temporal and... 
char | hyperspectral remote sensing | multiple endmember spectral mixture analysis | QuickBird | ENDMEMBER SELECTION | PONDEROSA PINE FOREST | CLIMATE-CHANGE | NEW-MEXICO | AFRICAN SAVANNAS | MESMA FRACTION IMAGES | SPECTRAL MIXTURE ANALYSIS | FORESTRY | WILDFIRE | FIRE SEVERITY | VEGETATION
Journal Article
Journal Article