Methods for the Epipolarity Analysis of Pushbroom Satellite Images Based on the Rational Function Model

Yi, Hui; Chen, Xiangning; Wang, Decheng; Du, Shuhan; Guo, N.

doi:10.1109/access.2020.2999393

Cited by 4 publications

(2 citation statements)

References 24 publications

(25 reference statements)

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“…But how to choose the size of the image block is a problem that has not been discussed. To figure out this problem, we generate the epipolar curves in push-broom image pairs using the piecewise projection trajectory method (PPTM) [37]. The epipolar curves generated in the left and right images are shown in Figure 3 (a) and Figure 3 (b) respectively.…”

Section: A Choose the Block Size And Divide Images Into Blocksmentioning

confidence: 99%

An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block

Yi¹,

Chen

Wang

et al. 2021

IEEE Access

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As the basis of stereo observation, epipolar resampling is a critical technology for 3D reconstruction. With the development of the 3D reconstruction using multi-view satellite images, the epipolar resampling of the multi-view satellite images has become a new challenging problem. In this paper, we propose an epipolar resampling method for multi-view high resolution satellite images based on block. Firstly, we establish the relationship between the vertical parallax and image block size for the epipolar resampling based on block. Using this relationship, we can choose the block size to limit the maximum vertical parallax in epipolar resampling. Secondly, we use the rational function model (RFM) to generate virtual corresponding points for fundamental matrix estimation, so image pairs with large stereo angles and poor consistency in multi-view satellite images which are difficult to extract feature matching point can be rectified. Experiments with multi-view satellite images demonstrated the universality and effectiveness of the proposed method. All the image pairs in the multi-view satellite image dataset were rectified successfully. The average epipolar resampling error is only 0.25 pixels when we rectify the multi-view satellite images acquired by WorldView-3 with the block size of 3000*3000 pixels, significantly less than the similar method.INDEX TERMS Epipolar resampling; multi-view; push-broom satellite image; block size; fundamental matrix.

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Section: A Choose the Block Size And Divide Images Into Blocksmentioning

confidence: 99%

An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block

Yi¹,

Chen

Wang

et al. 2021

IEEE Access

Self Cite

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“…Liao et al [4] fully use the rational function model to establish the relationship between the image space and the object space coordinates, and introduces a new satellite image pair resampling method based on orthophoto correction. Yi et al [5] compared different methods based on rational function model for generating epipolar images of push scan satellite images. It can be seen that the research of relevant scholars is focused on the generation of epipolar images of aerial images.…”

Section: Introductionmentioning

confidence: 99%

Epipolar image generation on vehicle-based sequence images based on fundamental matrix

Zhang

Ren

Jiao

et al. 2022

Thirteenth International Conference on Information Optics and Photonics (CIOP 2022)

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In the process of 3D information extraction using sequence images collected by vehicle-based mobile measurement system, epipolar image eliminates the vertical disparity of image pairs. Furthermore, it converts the search area of the correspondences from two-dimensional plane to one-dimensional line in dense matching, thus improving the matching accuracy and efficiency. However, unlike the nearly horizontal epipolar lines of aerial images, the epipolar lines of the vehicle-based sequence image pairs are distributed radially on the images, which makes it difficult for the vehicle-based sequence images to generate epipolar images. To solve the above problems, the fundamental matrix is used to determine the geometrical relation of the image pair to epipolar line. Then the epipolar image is generated by the fan-shaped circular epipolar model. First, high-precision correspondences are obtained by sparse matching for fundamental matrix estimation. Then we use the fundamental matrix to map the nuclear line quickly and determine the region of the epipolar line. At last, the image of the epipolar line area is resampled by bilinear interpolation in the direction of the epipolar line. Experiments were conducted using multiple sets of vehicle-based sequence images, and the average vertical disparity of the correspondences of the generated epipolar image is 0.63 pixels. The results show that the vertical disparity of the epipolar image generated by the proposed method is smaller, which verifies the correctness of the process.

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A fast non-iterative method for the object to image space best scanline determination of spaceborne linear array pushbroom images

Nezhad

Zoej

Ghorbanian

2021

Advances in Space Research

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Methods for the Epipolarity Analysis of Pushbroom Satellite Images Based on the Rational Function Model

Cited by 4 publications

References 24 publications

An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block

An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block

Epipolar image generation on vehicle-based sequence images based on fundamental matrix

A fast non-iterative method for the object to image space best scanline determination of spaceborne linear array pushbroom images

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