FREE CODES AND DEMOS

Please cite the following papers when using the corresponding demos:

Free codes and demos (19):

1. J. Li, M. Khodadadzadeh, A. Plaza, X. Jia and J. M. Bioucas-Dias. A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 625-639, February 2016 (download Matlab demo) [JCR(2014)=3.026].
2. J. Li, A. Agathos, D. Zaharie, J. M. Bioucas-Dias, A. Plaza and X. Li. Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 9, pp. 5067-5082, September 2015 (download Matlab demo) [JCR(2014)=3.514].
3. L. I. Jimenez and A. Plaza. HyperMix: An Open-Source Tool for Fast Spectral Unmixing on Graphics Processing Units. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 9, pp. 1883-1887, September 2015 (link to tool) [JCR(2014)=2.095].
4. J. Li, X. Huang, P. Gamba, J. M. Bioucas-Dias, L. Zhang, J. A. Benediktsson and A. Plaza. Multiple Feature Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1592-1606, March 2015 (download Matlab demo) [JCR(2014)=3.514].
5. M. Khodadadzadeh, J. Li, A. Plaza, H. Ghassemian, J. M. Bioucas-Dias and X. Li. Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6298-6314, October 2014 (download Matlab demo) [JCR(2014)=3.514].
6. J. Sevilla and A. Plaza. A New Digital Repository for Hyperspectral Imagery with Unmixing-Based Retrieval Functionality Implemented on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2267-2280, June 2014 (link to tool) [JCR(2014)=3.026].
7. M. D. Iordache, J. M. Bioucas-Dias and A. Plaza. Collaborative Sparse Regression for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 341-354, January 2014 (download Matlab demo) [JCR(2014)=3.514].
8. J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson. Generalized Composite Kernel Framework for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4816-4829, September 2013 (download Matlab demo) [JCR(2013)=2.993].
9. A. Ferran, S. Bernabe, P. G. Rodriguez and A. Plaza. A Web-Based System for Classification of Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 4, pp. 1934-1948, August 2013 (link to tool) [JCR(2013)=2.827].
10. J. Li, J. M. Bioucas-Dias and A. Plaza. Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 844-856, February 2013 (download Matlab demo) [JCR(2013)=2.993].
11. M. D. Iordache, J. M. Bioucas-Dias and A. Plaza. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 11, pp. 4484-4502, November 2012 (download Matlab demo) [JCR(2012)=3.467].
12. J. M. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du, P. Gader and J. Chanussot. Hyperspectral Unmixing Overview: Geometrical, Statistical and Sparse Regression-Based Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 2, pp. 354-379, April 2012 (download Matlab demo) [JCR(2012)=2.874].
13. G. Martin and A. Plaza. Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 2, pp. 380-395, April 2012 (download Matlab demo) [JCR(2012)=2.874].
14. J. Li, J. Bioucas-Dias and A. Plaza. Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 3, pp. 809-823, March 2012 (download Matlab demo) [JCR(2012)=3.467].
15. J. Li, J. Bioucas-Dias and A. Plaza. Hyperspectral Image Segmentation Using a New Bayesian Approach with Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 10, pp. 3947-3960, October 2011 (download Matlab demo) [JCR(2011)=2.895].
16. G. Martin and A. Plaza. Region-Based Spatial Preprocessing for Endmember Extraction and Spectral Unmixing. IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 4, pp. 745-749, July 2011 (download Matlab demo) [JCR(2011)=1.560].
17. M. D. Iordache, J. Bioucas-Dias and A. Plaza. Sparse Unmixing of Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, vol. 6, no. 6, pp. 2014-2039, June 2011 (download Matlab demo) [JCR(2011)=2.895].
18. J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression with Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4085-4098, November 2010 (download Matlab demo) [JCR(2010)=2.485].
19. M. Zortea and A. Plaza. Spatial Preprocessing for Endmember Extraction. IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 8, pp. 2679-2693, August 2009 (download Matlab demo) [JCR(2009)=2.234].

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