Tao, Y; Muller, J-P; Sidiropoulos, P; Veitch-Michaelis, J; Yershov, V; (2016) An optimised system for generating multi-resolution DTMS using NASA DTMS datasets. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , XLI-B3 pp. 115-121. 10.5194/isprs-archives-xli-b3-115-2016.

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Abstract

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.

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