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Zhang X, Zhao X. High-precision Registration Algorithm and Parallel Design Method for High-Resolution Optical Remote Sensing Images. INT J PATTERN RECOGN 2021. [DOI: 10.1142/s0218001421540203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In optical remote sensing image reconstruction, image registration is an important issue to address in order to ensure satisfactory reconstruction performance. In this study, a multi-frame image registration algorithm for high-resolution images and its parallel design method are proposed. The algorithm realizes an improved feature point detection method based on an adaptive gradient bilateral tensor filter and carries out weighted Gaussian surface sub-pixel interpolation to obtain more accurate corner positions, which better guarantees the registration accuracy. On this basis, multi-scale expansion is carried out to generate descriptors for image registration. In addition, the operation-level parallel analysis and design are carried out on a GPU platform based on compute unified device architecture (CUDA), and the memory model of the GPU is utilized reasonably. The task-level parallel analysis and design are carried out based on the GPU stream model. Moreover, based on the open multi-processing (OpenMP) platform, a multi-core CPU carries out parallel design at the operation level and task level, which realizes post-processing operations such as optical remote sensing images loading, accurate matching, and coordinate mapping, thereby effectively improving registration speed. Compared with feature point algorithms and deep learning algorithm, our algorithm and its parallel design significantly improve the registration accuracy and speed of high-resolution optical remote sensing images.
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Affiliation(s)
- Xunying Zhang
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, P. R. China
| | - Xiaodong Zhao
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, P. R. China
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Cai X, Yang Z, Sun H, Gozho A, Ge Y, Cai R. Terrain Elevation Map Synthesis Method based on Single Sample and User Sketch. INT J PATTERN RECOGN 2020. [DOI: 10.1142/s0218001421540161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Terrain synthesis has been a hot topic in the field of computer graphics and image processing. However, there are still issues in terrain synthesis where synthesis results are difficult to control and not realistic enough. To address these problems, this paper proposes an interactive terrain elevation map generation method based on the synthesis of a single sample terrain elevation map. First, we propose a method to extract the skeleton from a terrain elevation map and a user sketch. Second, we construct a skeleton sample feature map based on the terrain elevation map and the user sketch. Finally, we propose a matching cost function to match image patches of the terrain sample and the user sketch. The proposed method can obtain a synthesis result containing the features of both the terrain sample and the user sketch, and then generates a synthetic terrain elevation map. The experimental results demonstrate the effectiveness of the proposed method, where the synthesized results can meet the needs of users.
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Affiliation(s)
- Xingquan Cai
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Zhe Yang
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Haiyan Sun
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Amanda Gozho
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Yakun Ge
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Runbo Cai
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
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