Data used in this demo can be found in the repository Data_for_Demos
This set of files contains the Matlab code for the comparison experiments in the following paper:
[1] L. He, J. Li, C. Liu and S. Li, Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1579-1597, March 2018.
The Gabor features are generated by DLRGF:
[2] L. He, J. Li, A. Plaza and Y. Li, Discriminative Low-Rank Gabor Filtering for Spectral¨CSpatial Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1381-1395, March 2017.
The EMAP features are built by:
[3] M. D. Mura, A. Villa, J. A. Benediktsson, J. Chanussot, and L. Bruzzone, Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis, IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 3, pp. 542¨C546, May 2011.
The Multinomial logistic regression (MLR) implimentation is by:
[4] 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.
the SVM implitation is by libSVM:
[5] Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. Software available at libsvm
The LBP is implemented by:
[6] J. Li, J. M. Bioucas-Dias and A. Plaza, Spectral¨CSpatial 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, Feb. 2013.
If you use this demo, please cite these references
--- [1][2][3][4][5][6] ---
For their BibTeX formats, please see
--- Reference.bib ---
For their RIS formats, please see
--- Reference.enl ---
Any suggestions and comments are appreciated, and please send them to the authors: