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.
Highlights
The parallax values of the conjugate image points (CIPs) along the baseline of stereo images reveal valuable information about the height of objects; while the vertical parallaxes do not convey any useful information, but they can interrupt the stereo-viewing process
The main objective of the epipolar resampling of stereo images is to generate normalized images where the CIPs have no vertical parallaxes and their horizontal parallaxes are linearly proportional with the height of corresponding points in the object space
Thearesampling process is based on the rigorous sensor model, no approximations or in the heightsto inprovide the object space.relationship assumptions
Summary
The parallax values of the conjugate image points (CIPs) along the baseline of stereo images (horizontal parallax) reveal valuable information about the height of objects; while the vertical parallaxes do not convey any useful information, but they can interrupt the stereo-viewing process. The EG of frame images is well-known and there are well-established procedures for epipolar resampling [3,4] in such a way that given the relative orientation parameters (ROP) of the stereo images and modifying their attitude parameters, vertical parallaxes of CIPs can be eliminated. To this end, the ROP of the stereo imagery are modified so that all conjugate epipolar lines in those stereo images be simultaneously parallelized with the base line of imagery in a common plane [3]. Every 1-D image is associated with the given exposure [29]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
