Compression technique for hyperspectral imagery oriented anomaly detection

被引:0
|
作者
Nian, Yong-Jian [1 ]
Wang, Zhan [1 ]
Wan, Jian-Wei [1 ]
Xin, Qin [1 ]
机构
[1] College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China
关键词
Anomalous detections - Hyper-spectral imageries - Intrinsic dimensionalities - Karhunen Loeve Transform (KLT) - Lossy compression methods - Lossy compressions - Optimal rate allocation - Virtual dimensionality;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:48 / 52
相关论文
共 50 条
  • [31] A support vector method for anomaly detection in hyperspectral imagery
    Banerjee, Amit
    Burlina, Philippe
    Diehl, Chris
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (08): : 2282 - 2291
  • [32] Progressive Band Processing of Anomaly Detection in Hyperspectral Imagery
    Chang, Chein-I
    Li, Yao
    Hobbs, Marissa C.
    Schultz, Robert C.
    Liu, Wei-Min
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (07) : 3558 - 3571
  • [33] ANOMALY DETECTION BASED ON QUADRATIC MODELING OF HYPERSPECTRAL IMAGERY
    Zhong, Shengwei
    Zhang, Ye
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5864 - 5867
  • [34] Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery
    Du, Qian
    Zhu, Wei
    Fowler, James E.
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2008, 5 (04) : 696 - 700
  • [35] Compression of hyperspectral imagery
    Motta, G
    Rizzo, F
    Storer, JA
    DCC 2003: DATA COMPRESSION CONFERENCE, PROCEEDINGS, 2003, : 333 - 342
  • [36] Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery
    Xie, Weiying
    Liu, Baozhu
    Li, Yunsong
    Lei, Jie
    Chang, Chein-, I
    He, Gang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (04): : 2352 - 2365
  • [37] Kernel ICA Feature Extraction for Anomaly Detection in Hyperspectral Imagery
    Zhao Chunhui
    Wang Yulei
    Mei Feng
    CHINESE JOURNAL OF ELECTRONICS, 2012, 21 (02): : 265 - 269
  • [38] Anomaly Detection in Hyperspectral Imagery based on Spectral Gradient and LLE
    Wang, Liangliang
    Li, Zhiyong
    Sun, Jixiang
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 720 - 724
  • [39] Anomaly Detection of Hyperspectral Imagery Using Modified Collaborative Representation
    Vafadar, Maryam
    Ghassemian, Hassan
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (04) : 577 - 581
  • [40] Consensus Anomaly Detection Using Clustering Methods in Hyperspectral imagery
    Amiel, Yoav
    Frajman, Adar
    Rotman, Stanley R.
    IMAGING SPECTROMETRY XXIV: APPLICATIONS, SENSORS, AND PROCESSING, 2020, 11504