CNES Studies for On-Board Compression of High-Resolution Satellite Images

被引:2
|
作者
Thiebaut, Carole
Delaunay, Xavier
Latry, Christophe
Moury, Gilles
机构
关键词
compression; satellite images; wavelet; Support Vector Machine;
D O I
10.1117/12.798121
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Future high resolution instruments planned by CNES for space remote sensing missions will lead to higher bit rates because of the increase in resolution and dynamic range. For example, the ground resolution improvement induces a data rate multiplied by 8 from SPOT4 to SPOT5 and by 28 to PLEIADES-HR. Lossy data compression with low complexity algorithms is then needed since compression ratio are always higher. New image compression algorithms have been used to increase their compression performance while complying with image quality requirements from the community of users and experts. Thus, DPCM algorithm used on-board SPOT4 was replaced by a DCT-based compressor on-board SPOT5. Recent compression algorithms such as PLEIADES-HR one use a wavelet-transform and a bit-plane encoder. But future compressors will have to be more powerful to reach higher compression ratios. New transforms are studied by CNES to exceed the DWT but a performance gap could be obtained with selective compression. This article gives an overview of CNES past and present studies of on-board compression algorithms for high-resolution images.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] CNES studies of on-board compression for multispectral and hyperspectral images
    Thiebaut, Carole
    Christophe, Emmanuel
    Lebedeff, Dimitri
    Latry, Christophe
    [J]. SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND ARCHIVING III, 2007, 6683
  • [2] Future CNES high-resolution remote sensing missions: Novel image compression approaches for on-board processing units
    Camarero, R.
    Thiebaut, C.
    Latry, Ch.
    Albinet, M.
    Delvit, J-M.
    Delaunay, X.
    [J]. SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING XI, 2015, 9501
  • [3] On-board compression algorithm for satellite multispectral images
    Thiebaut, Carole
    Lebedefl, Dimitri
    Latry, Christophe
    Bobichon, Yves
    [J]. DCC 2006: Data Compression Conference, Proceedings, 2006, : 467 - 467
  • [4] Satellite on-board image compression adviser
    Guzmán, A
    Beltrán, M
    [J]. PROCEEDINGS OF THE FOURTH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, 2004, : 296 - 301
  • [5] CNES Studies for On-Board implementation via HLS tools of a Cloud-Detection module for Selective Compression
    Camarero, R.
    Thiebaut, C.
    Dejean, Ph
    Speciel, A.
    [J]. SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING VI, 2010, 7810
  • [6] Contextual Classification of High-Resolution Satellite Images
    Besbes, Olfa
    Boujemaa, Nozha
    Belhadj, Ziad
    [J]. 2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR IMAGE PROCESSING, 2009, : 41 - +
  • [7] Cloud Detection in High-Resolution Satellite Images
    Baseski, Emre
    Senaras, Caglar
    [J]. 2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
  • [8] Automated registration of high-resolution satellite images
    Zhang, Chunsun
    Fraser, Clive S.
    [J]. PHOTOGRAMMETRIC RECORD, 2007, 22 (117): : 75 - 87
  • [9] TENSOR COMPLETION FOR ON-BOARD COMPRESSION OF HYPERSPECTRAL IMAGES
    Li, Nan
    Li, Baoxin
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 517 - 520
  • [10] A New Algorithm for the On-Board Compression of Hyperspectral Images
    Guerra, Raul
    Barrios, Yubal
    Diaz, Maria
    Santos, Lucana
    Lopez, Sebastian
    Sarmiento, Roberto
    [J]. REMOTE SENSING, 2018, 10 (03):