• DocumentCode
    315043
  • Title

    Detection of the Great Wall using SIR-C data in North-Western China

  • Author

    Xinqiao, Lu ; Huadong, Guo ; Yun, Shao

  • Author_Institution
    Inst. of Remote Sensing Appl., Acad. Sinica, Beijing, China
  • Volume
    1
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    50
  • Abstract
    A segment of ancient Chinese Great Wall was imaged by Shuttle Imaging Radar-C. The wall is situated in the desert region and even partly buried in a thin sand layer. SIR-C image reveals the whole segment of the wall. There are three walls imaged by SIR-C. Two were built in Ming Dynasty (1474 A.D. and 1531 A.D.) and one was built in Sui Dynasty (585 A.D.). The Great Wall in Ningxia and Shanxi Province was made of loess soil taken from the local wind-blow sedimentary deposits. The wall is seriously damaged by erosion. This paper presents a study of the radar imaging mechanism of the Great Wall, radar backscatter from the wall in relation to the frequency and polarization. The study shows that the long wavelength L-band radar image is better for detection the wall, especially in sand covered areas. Multi-frequency, multi-polarization SAR image is an effective tool for detecting the special historic remains, such as the Silk road, ancient graves etc
  • Keywords
    archaeology; geophysical techniques; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; China; Chinese Great Wall; Great Wall; L-band; Ming Dynasty; Ningxia; SAR imaging; SHF; SIR-C; Shanxi; Shuttle Imaging Radar-C; Sui Dynasty; UHF radar; archaeology; archeology; buried object detection; desert region; geology; ground penetrating radar; land surface; measurement technique; multifrequency radar; radar imaging; radar polarimetry; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; thin sand layer; Broadcasting; Frequency; Image segmentation; Polarization; Poles and towers; Protection; Radar detection; Radar imaging; Remote sensing; Soil;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.615796
  • Filename
    615796