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Sensors 2017, 17(1), 129; doi:10.3390/s17010129

Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model

Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran 19667-15433, Iran
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Author to whom correspondence should be addressed.
Academic Editor: Qihao Weng
Received: 16 October 2016 / Revised: 14 December 2016 / Accepted: 29 December 2016 / Published: 11 January 2017
(This article belongs to the Section Remote Sensors)
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Abstract

Epipolar resampling aims to eliminate the vertical parallax of stereo images. Due to the dynamic nature of the exterior orientation parameters of linear pushbroom satellite imagery and the complexity of reconstructing the epipolar geometry using rigorous sensor models, so far, no epipolar resampling approach has been proposed based on these models. In this paper for the first time it is shown that the orientation of the instantaneous baseline (IB) of conjugate image points (CIPs) in the linear pushbroom satellite imagery can be modeled with high precision in terms of the rows- and the columns-number of CIPs. Taking advantage of this feature, a novel approach is then presented for epipolar resampling of cross-track linear pushbroom satellite imagery. The proposed method is based on the rigorous sensor model. As the instantaneous position of sensors remains fixed, the digital elevation model of the area of interest is not required in the resampling process. Experimental results obtained from two pairs of SPOT and one pair of RapidEye stereo imagery with different terrain conditions shows that the proposed epipolar resampling approach benefits from a superior accuracy, as the remained vertical parallaxes of all CIPs in the normalized images are close to zero. View Full-Text
Keywords: epipolar resampling; pushbroom satellite imagery; rigorous sensor model; cross track imaging epipolar resampling; pushbroom satellite imagery; rigorous sensor model; cross track imaging
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Jannati, M.; Valadan Zoej, M.J.; Mokhtarzade, M. Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model. Sensors 2017, 17, 129.

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