2019
DOI: 10.3390/rs11060678
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An SRTM-Aided Epipolar Resampling Method for Multi-Source High-Resolution Satellite Stereo Observation

Abstract: Binocular stereo observation with multi-source satellite images used to be challenging and impractical, but is now a valuable research issue with the introduction of powerful deep-learning-based stereo matching approaches. However, epipolar resampling, which is critical for binocular stereo observation, has rarely been studied with multi-source satellite images. The main problem is that, under the multi-source stereo mode, the epipolar-line-direction (ELD) at an image location may vary when computed with diffe… Show more

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Cited by 4 publications
(3 citation statements)
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References 31 publications
(41 reference statements)
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“…The DLSMs have a lower tolerance to the y ‐parallax of satellite stereos than conventional methods since the cost volume only takes pixels at the same row into consideration. Therefore, we use the SRTM‐aided epipolar resampling method (Hu et al., 2019) as the default setting for epipolar correction because it can limit the y ‐parallax of satellite stereos to the 0.5 pixels level.…”
Section: Methodsmentioning
confidence: 99%
“…The DLSMs have a lower tolerance to the y ‐parallax of satellite stereos than conventional methods since the cost volume only takes pixels at the same row into consideration. Therefore, we use the SRTM‐aided epipolar resampling method (Hu et al., 2019) as the default setting for epipolar correction because it can limit the y ‐parallax of satellite stereos to the 0.5 pixels level.…”
Section: Methodsmentioning
confidence: 99%
“…By reassigning the generated epipolar curves into horizontal straight lines, they achieved the epipolar resampling of push-broom satellite images. Hu, et al [32] proposed a SRTM-aided epipolar resampling method based on the pre-corrected RFM. They transform the original push-broom images to epipolar images using a global rotation followed by a block-wise homogeneous matrix transformation.…”
Section: Related Workmentioning
confidence: 99%
“…In photogrammetry, epipolarity is the foundation of epipolar resampling [1][2][3], and it is also called stereo rectification in computer vision [4][5][6]. Epipolar resampling is the process of eliminating the vertical disparity between stereo pairs, which is an important step for stereo matching algorithms such as semiglobal stereo matching (SGM) [7][8][9].…”
Section: Introductionmentioning
confidence: 99%