• DocumentCode
    38982
  • Title

    Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation

  • Author

    Yi Lin ; Hyyppa, Juha ; Rosnell, Tomi ; Jaakkola, Anttoni ; Honkavaara, Eija

  • Author_Institution
    Finnish Geodetic Inst., Masala, Finland
  • Volume
    6
  • Issue
    4
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    1893
  • Lastpage
    1898
  • Abstract
    This study proposed the development plan of a novel aerial-to-ground remote sensing (AGRS) system for surveying the land scenes of interest. Specifically, the AGRS system is composed by integrating an unmanned aerial vehicle (UAV) imaging system and a mobile mapping system (MMS), onboard whose platform a control station is also added. The UAV-MMS-collaboration can be classified into two modes - loosely and tightly, respectively related to two efficacy levels of the AGRS - fine-scale mapping in general and target investigating in special cases. The latter scenario can be illustrated by the tasks of fast-responses to the time-critical events, e.g., seeking the accessible roads into disaster areas. These all pose challenging issues. To ensure the premise for AGRS development, a field test was carried out in prior to examine the collaborative effect between its two RS-functional modules. Two typical topics were explored, i.e., self-indicated orthorectification of the UAV images and landcover classification based on information fusion. The final positive results have basically validated the feasibility of the development of the AGRS system.
  • Keywords
    autonomous aerial vehicles; surveying; terrain mapping; AGRS system; RS functional modules; UAV imaging system; UAV-MMS collaborative aerial to ground remote sensing system; fine scale mapping; land scene surveying; loose UAV-MMS collaboration; mobile mapping system; preparatory field validation; target investigating; tight UAV-MMS collaboration; time critical events; unmanned aerial vehicle; Aerial-to-ground; MMS; UAV; landcover classification; self-indicated orthorectification;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2012.2228168
  • Filename
    6509462