Hyperspectral remote sensing and geological applications

被引:2
|
作者
Ramakrishnan, D. [1 ]
Bharti, Rishikesh [1 ]
机构
[1] Indian Inst Technol, Dept Earth Sci, Bombay 400076, Maharashtra, India
来源
CURRENT SCIENCE | 2015年 / 108卷 / 05期
关键词
Geological applications; hyperspectral remote sensing; spectroscopy of minerals and rocks; spectral unmixing; BIDIRECTIONAL REFLECTANCE SPECTROSCOPY; IMAGING SPECTROMETER DATA; EO-1; HYPERION; ATMOSPHERIC CORRECTION; COHERENT BACKSCATTER; INFRARED DATA; MINERALS; SURFACE; EMISSIVITY; ASTER;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This article reviews the potential of Hyperspectral Remote Sensing (HRS) technique in various geological applications ranging from lithological mapping to exploration of economic minerals of lesser crustal abundance. This work updates understanding on the subject starting from spectroscopy of minerals to its application in exploring mineral deposits and hydrocarbon reservoirs through different procedures such as atmospheric correction, noise reduction, retrieval of pure spectral endmembers and unmixing. Besides linear unmixing, nonlinear unmixing and parameters attributed to nonlinear behaviour of reflected light are also addressed. A few case studies are included to demonstrate the efficacy of this technique in different geological explorations. Finally, recent developments in this field like ultra spectral imaging from unmanned aerial vehicles and its consequences are pointed out.
引用
收藏
页码:879 / 891
页数:13
相关论文
共 50 条
  • [21] Hyperspectral remote sensing of agriculture
    Sahoo, R. N.
    Ray, S. S.
    Manjunath, K. R.
    [J]. CURRENT SCIENCE, 2015, 108 (05): : 848 - 859
  • [22] Hyperspectral remote sensing applications for early stress detection of young plants
    Krezhova, D.
    Maneva, S.
    Moskova, I.
    Krezhov, K.
    [J]. BULGARIAN CHEMICAL COMMUNICATIONS, 2015, 47 : 356 - 364
  • [23] Hyperspectral remote sensing Preface
    Navalgund, Ranganath
    [J]. CURRENT SCIENCE, 2015, 108 (05): : 825 - 825
  • [24] On the parallel classification system using hyperspectral images for remote sensing applications
    Garcia-Salgado, Beatriz P.
    Ponomaryov, Volodymyr I.
    Robles-Gonzalez, Marco A.
    Sadovnychiy, Sergiy
    [J]. REAL-TIME IMAGE AND VIDEO PROCESSING 2018, 2018, 10670
  • [25] Foreword to the Special Issue on Hyperspectral Remote Sensing: Theory, Methods, and Applications
    Du, Qian
    Zhang, Liangpei
    Zhang, Bing
    Tong, Xiaohua
    Du, Peijun
    Chanussot, Jocelyn
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (02) : 459 - 465
  • [26] Combining hyperspectral remote sensing and physical modeling for applications in land ecosystems
    Goodenough, David G.
    Li, Jing Y.
    Asner, Gregory P.
    Schaepman, Michael E.
    Ustin, Susan L.
    Dyk, Andrew
    [J]. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2000 - +
  • [27] Constrained detectors for hyperspectral remote sensing applications: Theory versus practice
    Marden, DB
    Manolakis, D
    [J]. IMAGING SPECTROMETRY VIII, 2002, 4816 : 211 - 221
  • [28] POTENTIAL OF AN EMBEDDED HYPERSPECTRAL COMPRESSIVE IMAGING SYSTEM FOR REMOTE SENSING APPLICATIONS
    Lim, Olivier
    Mancini, Stephane
    Mura, Mauro Dalla
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 4238 - 4241
  • [29] The TRWIS III hyperspectral imager: instrument performance and remote sensing applications
    Sandor-Leahy, S
    Beiso, D
    Figueroa, M
    Folkman, M
    Gleichauf, D
    Hedman, T
    Jarecke, P
    Thordarson, S
    [J]. IMAGING SPECTROMETRY IV, 1998, 3438 : 13 - 22
  • [30] Novel interferometric, hyperspectral imaging instruments for remote-sensing applications
    Glumb, Ronald
    Lapsley, Michael
    Mantica, Peter
    [J]. MICRO- AND NANOTECHNOLOGY SENSORS, SYSTEMS, AND APPLICATIONS X, 2018, 10639