• DocumentCode
    1652163
  • Title

    Design and implementation of aerial remote sensing data compression system based on DSP

  • Author

    QIN, Qiming ; Sui, Xinxin ; Jin, Chuan ; Sun, Yumei

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing
  • fYear
    2008
  • Firstpage
    478
  • Lastpage
    481
  • Abstract
    Based on the characteristic and requirement of aerial remote sensing system, the schemes of whole, software and hardware design of compression system is put forward. This paper brings forward the high compression performance algorithm, modified CDF97(MCDF97) lifting scheme combined with set partitioning in hierarchical trees (SPIHT) coding, and realizes it in the Visual C++ environment. On this basis, SPM176430ER1000 coprocessor of RTD corporation is adopted as hardware platform. The program is transplanted, debugged and optimized in the code composer studio (CCS) environment, then burned into FLASH of corporation. In the flying experiment, aerial remote sensing data compression system performed well. At 5:1 compression ratio (CR), the average compression speed of every image is 30 to 50 ms, while average decompression speed is 60 ms. Decompression images are displayed in real time in the process of flying, which proved the correction and robustness of the compression system.
  • Keywords
    C++ language; data compression; geographic information systems; terrain mapping; Visual C++ environment; aerial remote sensing data compression system; code composer studio environment; high compression performance algorithm; set partitioning in hierarchical trees coding; Carbon capture and storage; Chromium; Coprocessors; Data compression; Digital signal processing; Hardware; Image coding; Partitioning algorithms; Remote sensing; Software design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697174
  • Filename
    4697174