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Pixel unmixing for urban environment monitoring using multi-temporal satellite images.

, , , and . Geoinformatics, page 1-6. IEEE, (2010)

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Hyperspectral band selection using firefly algorithm., , and . WHISPERS, page 1-4. IEEE, (2014)Direct, ECOC, ND and END Frameworks - Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan., , , , , , , , , and . Remote. Sens., 11 (16): 1953 (2019)Bi-CCD: Improved Continuous Change Detection by Combining Forward and Reverse Change Detection Procedure., , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Multitemporal spectral unmixing for change detection in hyperspectral images., , , and . IGARSS, page 4165-4168. IEEE, (2015)Multiple composite kernel learning for hyperspectral image classification., , , , and . IGARSS, page 2223-2226. IEEE, (2017)An optimized band selection scheme for hyperspectral imagery analysis., , and . WHISPERS, page 1-4. IEEE, (2013)Active extreme learning machines for quad-polarimetric SAR imagery classification., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Urban Thermal Environment Simulation and Prediction based on Remote Sensing and GIS., , and . IGARSS (3), page 1055-1058. IEEE, (2009)Multi-objective processing of ASTER image for urban environmental analysis., , , and . IGARSS, page 675-678. IEEE, (2007)(Semi-) Supervised Probabilistic Principal Component Analysis for Hyperspectral Remote Sensing Image Classification., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2224-2236 (2014)