• DocumentCode
    576651
  • Title

    Photogrammetric exploitation of high resolution Indian remote sensing satellites - challenges and solutions

  • Author

    Radhadevi, P.V.

  • Author_Institution
    Dept. of Space, Adv. data Process. Res. Inst. (ADRIN), Secunderabad, India
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6948
  • Lastpage
    6951
  • Abstract
    In India, the conditions for mapping with high and very high resolution images are improved over the last few years. Cartosat-2 imagery of 1m resolution has the potential to be used for topographic map compilation and 2.5m stereo imagery of Cartosat-1 could be employed for DEM generation and for mapping in remote, non-urban and non-agricultural areas. Resourcesat-1 and Resourcesat-2 satellites with multi-spatial and multi-spectral capabilities in a single platform are suitable for agricultural and thematic applications. In the area of outer space exploration, the DEMs generated from Terrain mapping camera of Chandrayan-1 would enhance the existing knowledge of Lunar Topography and helps us to understand its evolution processes. Processing of these images provides a challenge for algorithmic redesign and opens the requirement to improve many photogrammetric processing components. This paper provides an overview on few of these challenges and senor-specific redesign methodologies adopted.
  • Keywords
    digital elevation models; photogrammetry; terrain mapping; Cartosat-1 stereo imagery; Cartosat-2 imagery; Chandrayan-1 terrain mapping camera; DEM generation; India; Indian remote sensing satellites; Resourcesat-1 satellite; Resourcesat-2 satellite; agricultural application; algorithmic redesign; lunar topography; multispatial capability; multispectral capability; nonagricultural area; nonurban area; photogrammetric exploitation; photogrammetric processing components; senor-specific redesign methodologies; thematic application; topographic map compilation; Cameras; Geometry; Image resolution; Mathematical model; Moon; Remote sensing; band-to-band registration; lunar mapping; sensor model; staggered array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352564
  • Filename
    6352564