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A Framework of Target Detection in Hyperspectral Imagery Based on Blind Source Extraction.

, , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (2): 835-844 (2016)

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Assessing spatial-temporal variation of heavy metals contamination of sediments using GIS 3D spatial analysis methods in Dexing mines, Jiangxi province, China., , , and . IGARSS, page 1650-1653. IEEE, (2007)Potential use of radarsat-2 polarimetric parameters for estimating soil moisture in prairie areas., , and . IGARSS, page 3043-3046. IEEE, (2016)Mapping of the hydrothermal mineral alteration zones using aster data., and . IGARSS, page 802-805. IEEE, (2016)Crop Growth Monitoring Based on the MODIS Data., , , , and . IGARSS, page 1362-1365. IEEE, (2006)Retrieving Soil Moisture Over Soybean Fields During Growing Season Through Polarimetric Decomposition., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Caputo-Hadamard fractional Halanay inequality., and . Appl. Math. Lett., (2022)Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images., , and . IEEE Trans. Geosci. Remote. Sens., 58 (9): 6059-6070 (2020)Mapping Paddy Rice in Complex Landscapes with Landsat Time Series Data and Superpixel-Based Deep Learning Method., , and . Remote. Sens., 14 (15): 3721 (2022)