Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 115-121, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/115/2016/
doi:10.5194/isprs-archives-XLI-B3-115-2016
 
09 Jun 2016
AN OPTIMISED SYSTEM FOR GENERATING MULTI-RESOLUTION DTMS USING NASA MRO DATASETS
Y. Tao, J.-P. Muller, P. Sidiropoulos, J. Veitch-Michaelis, and V. Yershov Imaging group, Mullard Space Science Laboratory, University College London, Holmbury St Mary, Surrey, RH56NT UK
Keywords: multi-resolution, DTM, MRO, CTX, HiRISE, CASP-GO Abstract. Within the EU FP-7 iMars project, a fully automated multi-resolution DTM processing chain, called Co-registration ASP-Gotcha Optimised (CASP-GO) has been developed, based on the open source NASA Ames Stereo Pipeline (ASP). CASP-GO includes tiepoint based multi-resolution image co-registration and an adaptive least squares correlation-based sub-pixel refinement method called Gotcha. The implemented system guarantees global geo-referencing compliance with respect to HRSC (and thence to MOLA), provides refined stereo matching completeness and accuracy based on the ASP normalised cross-correlation. We summarise issues discovered from experimenting with the use of the open-source ASP DTM processing chain and introduce our new working solutions. These issues include global co-registration accuracy, de-noising, dealing with failure in matching, matching confidence estimation, outlier definition and rejection scheme, various DTM artefacts, uncertainty estimation, and quality-efficiency trade-offs.
Conference paper (PDF, 5381 KB)


Citation: Tao, Y., Muller, J.-P., Sidiropoulos, P., Veitch-Michaelis, J., and Yershov, V.: AN OPTIMISED SYSTEM FOR GENERATING MULTI-RESOLUTION DTMS USING NASA MRO DATASETS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 115-121, doi:10.5194/isprs-archives-XLI-B3-115-2016, 2016.

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