DIFFERENCES AND SIMILARITIES IN THE PROCESSING OF AIRBORNE AND SPACEBORNE HYPERSPECTRAL DATA SHOWN ON HYSPEX AND ENMAP PROCESSING CHAINS

被引:0
|
作者
Schneider, Mathias [1 ]
Baumgartner, Andreas [1 ]
Schwind, Peter [1 ]
Carmona, Emiliano [1 ]
Storch, Tobias [1 ]
机构
[1] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, Munchener Str 20, D-82234 Wessling, Germany
关键词
Hyperspectral; EnMAP; HySpex;
D O I
10.1109/igarss.2019.8898527
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
When working with hyperspectral data, it is very important, that the data is properly pre-processed in terms of systematic radiometric and spectral correction, geometric correction as well as atmospheric correction. Airborne and spacebome sensors show some similarities regarding the processing, but also some differences. In this paper, these similarities and differences are discussed on the example of the HySpex processing chain in the generic processing environment Catena and the EnMAP processor that is currently developed at DLR. The paper presents the different sensors and their properties and gives an overview of the different workflows and the used algorithms.
引用
收藏
页码:9164 / 9167
页数:4
相关论文
共 50 条
  • [21] Real-time hyperspectral image processing for UAV applications, using HySpex Mjolnir-1024
    Koirala, Pesal
    Loke, Trond
    Baarstad, Ivar
    Fridman, Andrei
    Hernandez, Julio
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIII, 2017, 10198
  • [22] Frequency-Domain Bistatic SAR Processing for Spaceborne/Airborne Configuration
    Wang, Robert
    Loffeld, Otmar
    Nies, Holger
    Knedlik, Stefan
    Ul-Ann, Qurat
    Medrano-Ortiz, Amaya
    Ender, Joachim H. G.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2010, 46 (03) : 1329 - 1345
  • [23] HYPERSPECTRAL DATA PROCESSING: AN OPPORTUNITY FOR END-TO-END PROCESSING
    Cole, Marge
    Wilson, Anne
    Little, Michael
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 6328 - 6331
  • [24] Modern hyperspectral sensors and hyperspectral data processing methods
    Eremeev, V.A.
    Mordvintsev, I.N.
    Platonov, N.G.
    Issledovanie Zemli iz Kosmosa, 2003, (06): : 80 - 91
  • [25] Grid computing for hyperspectral data processing
    Robila, Stefan A.
    Senedzuk, Nicholas A.
    NEXT-GENERATION SPECTROSCOPIC TECHNOLOGIES, 2007, 6765
  • [26] Fast hyperspectral data processing methods
    Boggs, T
    Gomez, RB
    GEO-SPATIAL IMAGE AND DATA EXPLOITATION II, 2001, 4383 : 74 - 78
  • [27] Testing different classification methods in airborne hyperspectral imagery processing
    Kozoderov, Vladimir V.
    Dmitriev, Egor V.
    OPTICS EXPRESS, 2016, 24 (10): : A956 - A965
  • [28] Bistatic spaceborne SAR data processing based on LBF
    Bai Xia
    Sun Jinping
    Gao Fei
    SECOND INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY, PTS 1-3, 2007, 6795
  • [29] Similarities and differences of deficient phoneme processing in aphasia and dyslexia
    Csepe, V
    Osman-Sagi, J
    Molnar, M
    9TH EUROPEAN CONGRESS OF CLINICAL NEUROPHYSIOLOGY, 1998, : 549 - 554
  • [30] Onboard payload data compression and processing for spaceborne imaging
    Magli, Enrico
    Valsesia, Diego
    Vitulli, Raffaele
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (07) : 1951 - +