Potentials of image based active ranging to capture dynamic scenes

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue 4W19, 2011, Pages 143-148

  Hinz, S ^a   Weinmann, Ma ^a   Runge, P ^a   Jutzi, B ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Airborne sensing; Dynamic observations; Multi view; Point cloud; Range imaging

Indexed keywords

DATA ACQUISITION; REMOTE SENSING;

AIRBORNE SENSING; DYNAMIC OBSERVATION; MULTI-VIEWS; POINT CLOUD; RANGE IMAGING;

IMAGE ENHANCEMENT;

EID: 84923933947     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Jutzi B (2009) Investigations on ambiguity unwrapping of range images. In: Bretar F, Pierrot-Deseilligny M, Vosselman G (Eds.) Laserscanning 2009. International Archives of Photogrammetry and Remote Sensing 38 (Part 3/W8): 265-270.
2. Jutzi B (2011) Extending the range measurement capabilities of modulated range imaging devices by time-frequency-multiplexing. AVN - Allgemeine Vermessungs-Nachrichten. In press.
3. Shan J, Toth C.K. (2008) (Eds.) Topographic Laser Ranging and Scanning: Principles and Processing. Boca Raton, FL: Taylor & Francis.
4. Toth CK, Grejner-Brzezinska D (2006) Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation. ISPRS Journal of Photogrammetry & Remote Sensing, 61(3-4): 137-148.
5. Vosselman G, Maas H.G. (2009) (Eds.) Airborne and Terrestrial Laser Scanning. Whittles Publishing, Caithness, Scotland, UK.
6. Weinmann Ma, Jutzi B. (2011) Fully automatic image-based registration of unorganized TLS data. International Archives of Photogrammetry and Remote Sensing. Submitted.
7. Weinmann Ma, Weinmann Mi, Hinz S, Jutzi B. (2011) Fast and automatic image-based registration of TLS data. ISPRS Journal of Photogrammetry & Remote Sensing. Submitted.
8. Yao W, Hinz S, Stilla U. (2010) Airborne Analysis and Assessment of Urban Traffic Scenes from LiDAR Data - Theory and Experiments. In: Proceedings of Workshop of IEEE Conference on Computer Vision and Pattern Recognition '10 (CVPR10): 1-8.