RESOLUTION ENHANCEMENT FOR HYPERSPECTRAL IMAGES: A SUPER-RESOLUTION AND FUSION APPROACH

被引：0
|
作者：
Kwan, Chiman [1 ]
Choi, Joon Hee [2 ]
Chan, Stanley [2 ]
Zhou, Jin [3 ]
Budavari, Bence [1 ]
机构：
[1] Signal Proc Inc, Rockville, MD 20850 USA
[2] Purdue Univ, W Lafayette, IN 47907 USA
[3] Google Inc, Mountain View, CA 80305 USA
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年
关键词：
Hyperspectral Imaging; Remote Sensing; Hybrid Color Mapping; Plug-and-Play ADMM; Super-resolution; MULTISPECTRAL DATA; MS;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Many remote sensing applications require a high-resolution hyper-spectral image. However, resolutions of most hyperspectral imagers are limited to tens of meters. Existing resolution enhancement techniques either acquire additional multispectral band images or use a pan band image. The former poses hardware challenges, whereas the latter has limited performance. In this paper, we present a new resolution enhancement method that only requires a color image. Our approach integrates two newly developed techniques in the area: (1) A hybrid color mapping algorithm, and (2) A Plug-and-Play algorithm for single image super-resolution. Comprehensive experiments using real hyperspectral images are conducted to validate and evaluate the proposed method.
引用
收藏
页码：6180 / 6184
页数：5
相关论文
共 50 条
  • [1] A Super-Resolution and Fusion Approach to Enhancing Hyperspectral Images
    Kwan, Chiman
    Choi, Joon Hee
    Chan, Stanley H.
    Zhou, Jin
    Budavari, Bence
    REMOTE SENSING, 2018, 10 (09)
  • [2] Hyperspectral image super-resolution: a hybrid color mapping approach
    Zhou, Jin
    Kwan, Chiman
    Budavari, Bence
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [3] Super-resolution reconstruction of hyperspectral images
    Akgun, T
    Altunbasak, Y
    Mersereau, RM
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 14 (11) : 1860 - 1875
  • [4] CNN-Based Super-Resolution of Hyperspectral Images
    Arun, P. V.
    Buddhiraju, Krishna Mohan
    Porwal, Alok
    Chanussot, Jocelyn
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (09): : 6106 - 6121
  • [5] A super-resolution reconstruction algorithm for hyperspectral images
    Zhang, Hongyan
    Zhang, Liangpei
    Shen, Huanfeng
    SIGNAL PROCESSING, 2012, 92 (09) : 2082 - 2096
  • [6] IMAGE FUSION FOR HYPERSPECTRAL IMAGE SUPER-RESOLUTION
    Irmak, Hasan
    Akar, Gozde Bozdagi
    Yuksel, Seniha Esen
    2018 9TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2018,
  • [7] Hyperspectral Super-Resolution: A Coupled Tensor Factorization Approach
    Kanatsoulis, Charilaos, I
    Fu, Xiao
    Sidiropoulos, Nicholas D.
    Ma, Wing-Kin
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (24) : 6503 - 6517
  • [8] SUPER-RESOLUTION OF HYPERSPECTRAL IMAGES USING LOCAL SPECTRAL UNMIXING
    Licciardi, G.
    Veganzones, M. A.
    Simoes, M.
    Bioucas, J.
    Chanussot, J.
    2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2014,
  • [9] SUPER-RESOLUTION: AN EFFICIENT METHOD TO IMPROVE SPATIAL RESOLUTION OF HYPERSPECTRAL IMAGES
    Villa, A.
    Chanussot, J.
    Benediktsson, J. A.
    Ulfarsson, M.
    Jutten, C.
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 2003 - 2006
  • [10] Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution
    Hu, Jin-Fan
    Huang, Ting-Zhu
    Deng, Liang-Jian
    Dou, Hong-Xia
    Hong, Danfeng
    Vivone, Gemine
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
12345