Improved Process for Use of a Simplex Growing Algorithm for Endmember Extraction

被引：28
|
作者：
Wu, Chao-Cheng [1 ]
Lo, Chien Shun [2 ]
Chang, Chein-I [1 ,3 ]
机构：
[1] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA
[2] Natl Formosa Univ, Dept Multimedia Design, Yunlin 632, Taiwan
[3] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 402, Taiwan
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2009年 / 6卷 / 03期
关键词：
Endmember extraction; signature subspace estimate (SSE); simplex growing algorithm (SGA); vertex component analysis (VCA); virtual dimensionality (VD); HYPERSPECTRAL DATA;
D O I：
10.1109/LGRS.2009.2016223
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
A recent paper by Chang et al. develops a new algorithm, called the simplex growing algorithm, which has shown promise in endmember extraction. There is an erroneous description made for one of synthetic image experiments. While making a simple correction would have sufficed, a series of studies has led to interesting and intriguing results on how to determine an appropriate number of endmembers p, how to design a better endmember extraction algorithm, and how to use an effective technique to perform dimensionality reduction.
引用
收藏
页码：523 / 527
页数：5
相关论文
共 50 条
  • [11] An improved full automated endmember extraction algorithm based on endmember independence
    Wang, Yiran
    Zhong, Shengwei
    Zhang, Ye
    IMAGING SPECTROMETRY XX, 2015, 9611
  • [12] Maximin distance based band selection for endmember extraction in hyperspectral images using simplex growing algorithm
    Veera Senthil Kumar Ganesan
    Vasuki S
    Multimedia Tools and Applications, 2018, 77 : 7221 - 7237
  • [13] Real-Time Simplex Growing Algorithms for Hyperspectral Endmember Extraction
    Chang, Chein-, I
    Wu, Chao-Cheng
    Lo, Chien-Shun
    Chang, Mann-Li
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (04): : 1834 - 1850
  • [14] GPU Acceleration of the Simplex Volume Algorithm for Hyperspectral Endmember Extraction
    Qu, Haicheng
    Zhang, Junping
    Lin, Zhouhan
    Chen, Hao
    Huang, Bormin
    HIGH-PERFORMANCE COMPUTING IN REMOTE SENSING II, 2012, 8539
  • [15] Improved algorithm for hyperspectral endmember extraction and its FPGA implementation
    Zhang J.
    Lei J.
    Wu L.
    Huang B.
    Li Y.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2019, 46 (04): : 22 - 27
  • [16] An improved Fast N-FINDR endmember extraction algorithm
    2015, Chinese Optical Society (44):
  • [17] Endmember extraction algorithm based on improved iterative error analysis
    Zhao, Chunhui
    Cui, Shiling
    Zhao, Genping
    Zhong, Wei
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2015, 36 (02): : 257 - 261
  • [18] Spatial Potential Energy Weighted Maximum Simplex Algorithm for Hyperspectral Endmember Extraction
    Song, Meiping
    Li, Ying
    Yang, Tingting
    Xu, Dayong
    REMOTE SENSING, 2022, 14 (05)
  • [19] An improved endmember extraction method of mathematical morphology based on PPI algorithm
    Xu J.
    Wang C.
    Wang L.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2019, 48 (08): : 996 - 1003
  • [20] An improved N-FINDR algorithm for endmember extraction in hyperspectral imagery
    Zhang, Xue
    Tong, Xiao-hua
    Liu, Miao-long
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1241 - 1245
12345