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Feature Extraction in Remote Sensing High-Dimensional Image Data.

, , and . IEEE Geosci. Remote. Sens. Lett., 4 (1): 107-111 (2007)

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Spectral-textural endmember extraction., , , and . WHISPERS, page 1-4. IEEE, (2010)A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm., and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 787-791 (2009)On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison., , and . WHISPERS, page 1-4. IEEE, (2009)Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation., , , , , , , , , and 6 other author(s). CoRR, (2024)Experiments on feature extraction in remotely sensed hyperspectral image data., and . IGARSS, page 964-967. IEEE, (2004)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , and . IGARSS (4), page 877-880. IEEE, (2009)Spatial Preprocessing for Endmember Extraction., and . IEEE Trans. Geosci. Remote. Sens., 47 (8-1): 2679-2693 (2009)A statistical approach for simultaneous segmentation and classification., , , and . IGARSS, page 4899-4901. IEEE, (2014)Hindcast of Soil Moisture Using SMAP, Land Surface Model Output Data, and Regression Methods., , and . IGARSS, page 6100-6103. IEEE, (2021)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , and . IGARSS (4), page 877-880. IEEE, (2009)