Dense terrain stereoreconstruction using modified SGM

Gorbachev, V. A.

doi:10.1134/s1064230714020105

Cited by 4 publications

(1 citation statement)

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“…For acquiring better results, this research used semi‐global matching (SGM) to match images (Gorbachev, ). As global matching is simplified to be the accumulation of multi‐directional cost functions by SGM, the approximate global optimal matching results were derived by the total cost of eight directions.…”

Section: Methodsmentioning

confidence: 99%

Geometric Accuracy Evaluation of YG‐18 Satellite Imagery Based on RFM

Zhao

Jiang

Zhang

et al. 2017

The Photogrammetric Record

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YaoGan-18 (YG-18) is a Chinese high-resolution synthetic aperture radar (SAR) satellite, which was launched on 29th October 2013. So far, however, there have been no published reports evaluating the geometric accuracy of its imagery; this is rectified in this paper. A refined rational function model (RFM) with an affine transformation is utilised for the spaceborne SAR processing. By setting corner reflectors as ground control points (GCPs) and independent check points, the orthorectification accuracy of YG-18 satellite images was better than 2Á5 m. Its stereo-SAR measurement accuracy was subsequently evaluated using a highprecision digital surface model (DSM), achieving an elevation accuracy of 11Á36 m. The feasibility of the orthorectification method based on GCPs selected from corresponding image points of YG-18 SAR images and ZiYuan-3 (ZY-3) optical images was also verified, offering single-image accuracy better than 4Á5 m.

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Section: Methodsmentioning

confidence: 99%