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Topographic Reconstruction of the "Tianwen-1" Landing Area on the Mars Using High Resolution Imaging Camera Images￥W. Yan, X. Ren, J. J. Liu, L. Zhang, W. L. Chen, D. Wang, Q. Fu, X. Tan, X. X. Zhang, H. B. Ai, B. Q. Wang, Q. Q. Zhi, Z. C. Huang and C. Song￥2022￥Ieee Transactions on Geoscience and Remote Sensing￥0196-2892￥60￥14￥High-resolution optical cameras have always been important scientific payloads in Mars exploration missions, and the Mars topographic data produced by their detection data can provide support for scientific research on Mars geomorphology and geological structure evolution. As of December 2021, there are still relatively few high-resolution image data at the submeter level on the Martian surface, with about 2.6% global coverage and even more limited stereo coverage (just about 0.4%). At the same time, there are still some difficulties in data acquisition and terrain reconstruction processing methods for high-resolution Mars images that need to be solved. This article described how we designed the in-orbit stereo imaging strategy based on the characteristics of the high-resolution imaging camera (HiRIC) of China's first Mars exploration mission (Tianwen-1), studied the technical solutions for HiRIC stereo image photogrammetry processing, and produced a topographic dataset for the "Tianwen-1" landing area, including a digital orthophoto map (DOM) with a ground sample distance (GSD) of 0.7 and 3.5 m and a digital elevation model (DEM) with a GSD of 3.5 m. Precision analysis results show that these topographic data have good consistency in planar position and elevation compared with the existing Mars terrain data and have advantages in spatial resolution and terrain detail expression, which will be widely used in the geological background study of the "Tianwen-1" landing area, as well as landing site positioning, Martian surface remote operation planning, and other Mars scientific research and engineering tasks.￥internal-pdf://4050454703/Topographic Reconstruction of the _Tianwen-1_.pdf￥10.1109/tgrs.2022.3206961￥https://ieeexplore.ieee.org/ielx7/36/9633014/09893203.pdf?tp=&arnumber=9893203&isnumber=9633014&ref=￥英语￥sci&ei 期刊论文
Ieee Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 14
作者:  W. Yan;  X. Ren;  J. J. Liu;  L. Zhang;  W. L. Chen
收藏  |  浏览/下载：8/0  |  提交时间：2023/06/14
Orientation-First Strategy With Angle Attention Module for Rotated Object Detection in Remote Sensing Images 期刊论文
Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 8492-8505
作者:  Y. X. Zhang;  Y. C. Wang;  N. Zhang;  Z. Li;  Z. K. Zhao
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Topographic Reconstruction of the "Tianwen-1" Landing Area on the Mars Using High Resolution Imaging Camera Images 期刊论文
Ieee Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60, 页码: 14
作者:  W. Yan;  X. Ren;  J. J. Liu;  L. Zhang;  W. L. Chen
收藏  |  浏览/下载：3/0  |  提交时间：2023/07/17
Haze Relevant Feature Attention Network for Single Image Dehazing 期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 106476-106488
作者:  X. Jiang;  L. Lu;  M. Zhu;  Z. Hao and W. Gao
收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13
Progressive Guided Fusion Network with Multi-Modal and Multi-Scale Attention for RGB-D Salient Object Detection 期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 150608-150622
作者:  J. Wu;  G. Han;  H. Wang;  H. Yang;  Q. Li
收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13
An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information 期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 108942-108958
作者:  Q. Li;  G. Han;  P. Liu;  H. Yang;  J. Wu and D. Liu
收藏  |  浏览/下载：3/0  |  提交时间：2022/06/13
Cascaded hourglass feature fusing network for saliency detection 期刊论文
Neurocomputing, 2021, 卷号: 428, 页码: 206-217
作者:  H. Luo;  G. Han;  X. Wu;  P. Liu;  H. Yang and X. Zhang
收藏  |  浏览/下载：4/0  |  提交时间：2022/06/13
A Robust Algorithm Based on Phase Congruency for Optical and SAR Image Registration in Suburban Areas 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 20, 页码: 27
作者:  L. N. Wang,M. C. Sun,J. H. Liu,L. H. Cao and G. Q. Ma
收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06
Self-adaptive block-based compressed sensing imaging for remote sensing applications 期刊论文
Journal of Applied Remote Sensing, 2020, 卷号: 14, 期号: 1, 页码: 22
作者:  X. D. Wang,Y. H. Li,Z. Wang,W. G. Liu,D. Liu and J. N. Wang
收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06
Siamese Visual Tracking With Deep Features and Robust Feature Fusion 期刊论文
Ieee Access, 2020, 卷号: 8, 页码: 3863-3874
作者:  D. Q. Li,X. Z. Wang and Y. Yu
收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06

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