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Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery.

, , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (8): 3711-3721 (2017)

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Entropy-based spatially-varying adjustment of active contour parameters., , and . ICIP, page 2565-2568. IEEE, (2012)Joint spectral unmixing and clustering for identifying homogeneous regions in hyperspectral images., , , and . IGARSS, page 2409-2412. IEEE, (2015)A Computer-Based Technique for Automated Spot Detection in Proteomics Images., , , and . IEEE Trans. Information Technology in Biomedicine, 15 (4): 661-667 (2011)A level set approach for proteomics image analysis., , and . EUSIPCO, page 1229-1233. IEEE, (2010)Unsupervised 2D gel electrophoresis image segmentation based on active contours., , and . Pattern Recognit., 45 (2): 720-731 (2012)Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (8): 3711-3721 (2017)Protein spot detection in 2D-GE images using morphological operators., , , , and . CBMS, page 291-296. IEEE Computer Society, (2010)Unsupervised level set parameterization using multi-scale filtering., , , , and . DSP, page 1-5. IEEE, (2013)Automated Adjustment of Region-Based Active Contour Parameters Using Local Image Geometry., , and . IEEE Trans. Cybern., 44 (12): 2757-2770 (2014)Automated parameterization of active contours: A brief survey., , and . ISSPIT, page 344-349. IEEE Computer Society, (2013)