EVALUATION of AREA-BASED IMAGE MATCHING APPLIED to DTM GENERATION with HIRISE IMAGES

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Volumn 1, Issue , 2012, Pages 209-214

  Re, C ^a   Roncella, R ^b   Forlani, G ^b   Cremonese, G ^c   Naletto, G ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF PARMA   (Italy)

^c Obs Padova   (Italy)

Author keywords

Accuracy; DEM DTM; High resolution; Matching; Photogrammetry; Planetary; Pushbroom

Indexed keywords

EID: 84924268498     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-I-4-209-2012     Document Type: Conference Paper

References (18)

1. Bay, H. et al., 2008. SURF: Speeded Up Robust Features. CVIU, Vol. 110, No. 3, pp. 346-359
2. Broxton, M. J., Edwards, L. J. 2008. The Ames Stereo Pipeline: Automated 3D Surface Reconstruction from Orbital Imagery. Lunar and Planetary Science Conference 39, abstract #2419
3. Broxton M. J. et al, 2011. The Ames Stereo Pipeline: NASA's Open Source Automated Stereogrammetry Software. v. 1.0.5. http://ti.arc.nasa.gov/m/project/ngt/asp-book-1.0.5.pdf (10 Jan. 2012)
4. Cremonese G., et al, 2009. The stereo camera on the BepiColombo ESA/JAXA mission: a novel approach, 2009, Advances in Geosciences, Vol. 15, pp.305-322
5. Gwinner, K et al., 2010. Topography of Mars from global mapping by HRSC high-resolution digital terrain models and orthoimages: Characteristics and performance. Earth and Planetary Science Letters 294 (2010): pp. 506-519
6. Grün, A., 1985. Adaptive least squares correlations: a powerful matching techniques. South African J. Photogramm. Remote Sensing and Cartography, 14(3), pp. 175-187
7. Grün, A., Baltsavias, E.P., 1988. Geometrically constrained multiphoto matching. PE&RS, 54(5), pp. 633-641
8. Gwinner, K., et al, 2009. Derivation and validation of high resolution digital terrain models from Mars Express HRSC data, PE&RS, 75(9), pp. 1127-1142
9. Heipke, C. et al, 2007. Evaluating planetary digital terrain models-The HRSC DTM test, Planetary and Space Science, Vol. 55, Issue 14, pp. 2173-2191
10. Kfass, M., Witkin, A., Terzopoulos, D., 1987. Snakes-Active Contour Models. Int. J. Computer Vision, 1(4), pp. 321-331
11. Kirk, R. L. et al. 2008. Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images: Meterscale slopes of candidate Phoenix landing sites J. Geophysical Research, 113, E00A24, 2008
12. Li, R., Hwangbo, J. W., Chen, Y., Di, K., 2008. Rigorous photogrammetric processing of Hirise stereo images for Mars topographic mapping. In: IAPRSSIP, Vol. XXXVII, Part B4. Beijing 2008, pp. 987-992
13. Massironi M. et al., 2008. Simulations using terrestrial geological analogues to asses interpretability of potential geological feature of the Hermean surface restituted by the STereo imaging Camera of the SIMBIO-SYS package (BepiColombo mission). Planetary and Space Science 56 (2008), pp. 1079-1092
14. McEwen. A et al., 2007. Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE). J. Geophysical Research, Vol. 112, E05S02, 40 pp
15. Moratto, Z., Broxton, M.J., Beyer, R.A., Lundy, M., Husmann, K. Ames Stereo Pipeline, NASA's Open Source Automated Stereogrammetry Software. 41st LPSC Conference (2010)
16. Nefian, A., Husmann, K. Broxton, M., To, V., Lundy, M., Hancher, M, 2009. A Bayesian Formulation for Sub-pixel Refinement in Stereo Orbital Imagery. Proc. of the 2009 IEEE Int. Conf. on Image Processing. 2009, pp. 2361-2364
17. Simioni E. et al, 2011. A new stereo algorithm based on snakes. PE&RS, vol. 77/5, May 2011, pp. 495-507
18. Torson, J.M., and Becker, K.J., (1997) ISIS-A Software Architecture for Processing Planetary Images (abs.), LPSC XXVIII, pp. 1443-1444.