Construction of fast and robust N-FINDR algorithm

被引：0
|
作者：
Wang, Liguo [1 ]
Jia, Xiuping
Zhang, Ye
机构：
[1] Harbin Engn Univ, Sch Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Dept Informat Engn, Harbin 150001, Peoples R China
[3] Univ New S Wales, Univ Coll, Sch Elect Engn, Australian Def Force Acad, Campbell, ACT 2600, Australia
来源：
INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION | 2006年 / 345卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
N-FINDR has been a popular algorithm of endmember (EM) extraction method for its fully automation and relative efficiency. Unfortunately, innumerable volume calculation leads to a low speed of the algorithm and so becomes a limitation to its applications. Additionally, the algorithm is vulnerable to outliers that widely exist in hyperspectral data. In this paper, distance measure is adopted in place of volume one to speed up the algorithm and outliers are effectively controlled to endow the algorithm with robustness. Experiments show the improved algorithm is very fast and robust.
引用
收藏
页码：791 / 796
页数：6
相关论文
共 50 条
  • [21] FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis
    Gonzalez, Carlos
    Mozos, Daniel
    Resano, Javier
    Plaza, Antonio
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (02): : 374 - 388
  • [22] Initialization of the N-FINDR Algorithm Based on the Max-min Distance Method
    Zeng, Fanxia
    Wang, Maozhi
    Guo, Ke
    Wang, Daming
    2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012), 2012, : 378 - 381
  • [23] PARALLEL IMPLEMENTATION OF THE N-FINDR ENDMEMBER EXTRACTION ALGORITHM ON COMMODITY GRAPHICS PROCESSING UNITS
    Sanchez, Sergio
    Martin, Gabriel
    Plaza, Antonio
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 955 - 958
  • [24] Unsupervised band selection method based on improved N-FINDR algorithm for spectral unmixing
    Wang, Liguo
    Zhang, Ye
    Gu, Yanfeng
    ISSCAA 2006: 1ST INTERNATIONAL SYMPOSIUM ON SYSTEMS AND CONTROL IN AEROSPACE AND ASTRONAUTICS, VOLS 1AND 2, 2006, : 1018 - +
  • [25] An Improved N-FINDR Endmember Extraction Algorithm Based on Manifold Learning and Spatial Information
    Tang Xiao-yan
    Gao Kun
    Ni Guo-qiang
    Zhu Zhen-yu
    Cheng Hao-bo
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (09) : 2519 - 2524
  • [26] On the Convergence of N-FINDR and Related Algorithms: To Iterate or Not to Iterate?
    Dowler, Shaun
    Andrews, Mark
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (01) : 4 - 8
  • [27] A Modified Iterative N-FINDR Algorithm for Fully Automatic Extraction of Endmembers from Hyperspectral Imagery
    Kim, Kwang-Eun
    KOREAN JOURNAL OF REMOTE SENSING, 2011, 27 (05) : 565 - 572
  • [28] The Endmembers Selection and Spectral Unmixing Based on the Optimal Combination of the Endmembers Extracted by N-FINDR Algorithm and SSWA Algorithm
    Xu, Jun
    Xu, Fuhong
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2014, 5 : 941 - +
  • [29] Improved N-FINDR based on object retrieval initialization for finding endmembers
    Wang Hao
    Liu Chuntong
    Li Hongcai
    He Zhenxin
    Ma Shixin
    FIFTH SYMPOSIUM ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION, 2019, 11023
  • [30] Using a New Search Strategy to Improve the Performance of N-FINDR Algorithm for End-member Determination
    Wang, Ying
    Guo, Lei
    Liang, Nan
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 3021 - 3024
12345