DSEBS_pub
所属分类：图形图像处理
开发工具：matlab
文件大小：6274KB
下载次数：43
上传日期：2016-08-06 14:07:52
上 传 者：
bf0704
说明： 基于图支配集的高光谱图像波段选择算法，论文见于IEEE TGRS 2016.
(Unsupervised Hyperspectral Band Selection by Dominant Set Extraction, IEEE TGRS, 2016.)
文件列表:
DSEBS_pub\Demo.m (400, 2016-06-25)
DSEBS_pub\dsebs_v5.p (1360, 2016-06-25)
DSEBS_pub\IndianPines_220.mat (6297678, 2013-10-09)
DSEBS_pub\meanshift\AffinityMatrix.cpp (2611, 2012-06-27)
DSEBS_pub\meanshift\AffinityMatrix.mexw32 (14848, 2012-06-27)
DSEBS_pub\meanshift\AffinityMatrix.mexw64 (22016, 2009-10-14)
DSEBS_pub\meanshift\KNN.cpp (3446, 2012-06-27)
DSEBS_pub\meanshift\KNN.mexw32 (14848, 2012-06-27)
DSEBS_pub\meanshift\KNN.mexw64 (24064, 2011-05-02)
DSEBS_pub\meanshift\RecoverDenseSubgraph.cpp (4136, 2012-06-27)
DSEBS_pub\meanshift\RecoverDenseSubgraph.mexw32 (20992, 2012-06-27)
DSEBS_pub\meanshift\RecoverDenseSubgraph.mexw64 (37888, 2011-05-02)
DSEBS_pub\meanshift\ReplicatorEquation.cpp (3697, 2012-07-16)
DSEBS_pub\meanshift\ReplicatorEquation.mexw32 (12288, 2012-06-27)
DSEBS_pub\meanshift\ReplicatorEquation.mexw64 (14848, 2012-07-16)
DSEBS_pub\meanshift\ScaleAffinityMatrixSparse.cpp (2749, 2012-06-27)
DSEBS_pub\meanshift\ScaleAffinityMatrixSparse.mexw32 (14336, 2012-06-27)
DSEBS_pub\meanshift\ScaleAffinityMatrixSparse.mexw64 (22016, 2010-05-01)
DSEBS_pub\meanshift\SEA.cpp (15462, 2012-07-26)
DSEBS_pub\meanshift\SEA.mexw32 (30720, 2012-06-27)
DSEBS_pub\meanshift\SEA.mexw64 (40448, 2012-07-26)
DSEBS_pub\meanshift (0, 2015-04-10)
DSEBS_pub (0, 2016-06-25)
Dominant-Set-Extraction-Based Selector (DSEBS) - Code
=============
Provided by: Guokang Zhu
Contact: gzhu.chn@gmail.com
This software pertains to the research described in the IEEE TGRS 2016 paper:
[G. Zhu, Y. Huang, J. Lei, Z. Bi, and F. Xu, °Unsupervised Hyperspectral Band Selection by Dominant Set Extraction,± IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 1, pp. 227-239, 2016]
If you're using this software in a publication, please cite our paper.
This software is provided for research purposes, with absolutely no warranty or suggested support. Please do not contact the authors for assistance with installing, understanding or running the code. However if you think you have found an interesting bug, the authors would be grateful if you could pass on the information.
This package contains a demo codes for the above paper.
Important files are:
1) demo.m: the demo codes showing a example of DSEBS for HSI visualization.
2) dsebs_v5.p: perform band selection using dominant set extraction.
3) meanshift: an efficient solution to the quadratic programming [H. Liu and S. Yan. ICML 2010].
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