SUB-PIXEL MAPPING BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL IMAGERY

被引：0
|
作者：
Zhang, Yipeng [1 ]
Zhong, Yanfei [2 ,3 ]
机构：
[1] Syracuse Univ, Dept Elect Engn, Syracuse, NY 13244 USA
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
[3] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
Sub-pixel mapping; memetic algorithm; hyperspectral remote sensing; artificial immune systems; clonal selection; local search; MAP MODEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, sub-pixel mapping based on memetic algorithm (SMMA) is proposed to perform the sub-pixel mapping task, including a global search and a local search. In the global search, a clonal selection algorithm can be used,. To increase the convergence speed, the local search is designed to search for a feasible solution in the neighborhood of the candidate sub-pixel mapping solutions. In addition, a new post-processing method is designed to decrease the effect of the spectral unmixing errors. The experimental results demonstrate that SMMA is superior to the traditional methods.
引用
收藏
页码：393 / 396
页数：4
相关论文
共 50 条
  • [21] Characterizing Sub-Pixel Landscape Patterns from Remotely Sensed Imagery with Sub-Pixel Mapping Methods
    Li, Xiaodong
    Ling, Feng
    Du, Yun
    2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [22] A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery
    Xu, Xiong
    Tong, Xiaohua
    Plaza, Antonio
    Li, Jun
    Zhong, Yanfei
    Xie, Huan
    Zhang, Liangpei
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (11): : 6763 - 6778
  • [23] Modified genetic algorithm-based sub-pixel mapping
    Zhao, Chunhui
    Liu, Wu
    Wang, Yulei
    Li, Xiaohui
    OPTIK, 2014, 125 (21): : 6379 - 6383
  • [24] Sub-pixel mapping of remote-sensing imagery based on chaotic quantum bee colony algorithm
    Zhu, Haifeng
    Zhao, Chunhui
    Liu, Wu
    INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS, 2014, 5 (01) : 61 - 71
  • [25] Sub-pixel mapping based on artificial immune systems for remote sensing imagery
    Zhong, Yanfei
    Zhang, Liangpei
    PATTERN RECOGNITION, 2013, 46 (11) : 2902 - 2926
  • [26] Functions of multiple instances for sub-pixel target characterization in hyperspectral imagery
    Zare, Alina
    Jiao, Changzhe
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXI, 2015, 9472
  • [27] Mapping sub-pixel fluvial grain sizes with hyperspatial imagery
    Black, Martin
    Carbonneau, Patrice
    Church, Michael
    Warburton, Jeff
    SEDIMENTOLOGY, 2014, 61 (03) : 691 - 711
  • [28] Mapping sub-pixel proportional land cover with AVHRR imagery
    Atkinson, PM
    Cutler, MEJ
    Lewis, H
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (04) : 917 - 935
  • [29] Sub-pixel mapping based on spectral information of irregular scale areas for hyperspectral images
    Wang, Peng
    Chen, Yong-Kang
    Zhang, Gong
    Wang, Hong-Ying
    Zhao, Chun-Lei
    Han, Ling
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2023, 42 (04) : 538 - 545
  • [30] SUB-PIXEL MAPPING WITH HYPERSPECTRAL IMAGES USING SUPER-RESOLUTION
    Gaur, S.
    Buddhiraju, K. M.
    Porwal, A.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2459 - 2462
12345