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Classification of Giemsa staining chromosome using input-aware deep convolutional neural network with integrated uncertainty estimates 期刊论文
Biomedical Signal Processing and Control, 2022, 卷号: 71, 期号: 11
作者:  H. Wei;  W. Gao;  H. T. Nie;  J. Q. Sun and M. Zhu
收藏  |  浏览/下载：7/0  |  提交时间：2022/06/13
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
Single-image dehazing using scene radiance constraint and color gradient guided filter 期刊论文
Signal Image and Video Processing, 2022, 卷号: 16, 期号: 5, 页码: 1297-1304
作者:  H. N. Han;  F. Qian and B. Zhang
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Stray Light Nonuniform Background Elimination Method Based on Image Block Self-Adaptive Gray-Scale Morphology for Wide-Field Surveillance 期刊论文
Applied Sciences-Basel, 2022, 卷号: 12, 期号: 14, 页码: 17
作者:  J. N. Wang;  X. D. Wang and Y. H. Li
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Subpixel image registration algorithm based on pyramid phase correlation and upsampling 期刊论文
Signal Image and Video Processing, 2022, 卷号: 16, 期号: 7, 页码: 1973-1979
作者:  T. C. Li;  J. L. Wang and K. N. Yao
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
A Novel Stripe Noise Removal Model for Infrared Images 期刊论文
Sensors, 2022, 卷号: 22, 期号: 8, 页码: 22
作者:  M. X. Li;  S. K. Nong;  T. Nie;  C. S. Han;  L. Huang and L. X. Qu
收藏  |  浏览/下载：5/0  |  提交时间：2023/06/14
Multi-Exposure Image Fusion Techniques: A Comprehensive Review 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 3, 页码: 31
作者:  F. Xu;  J. H. Liu;  Y. M. Song;  H. Sun and X. Wang
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Remote Sensing Image Denoising Based on Deep and Shallow Feature Fusion and Attention Mechanism 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 5, 页码: 23
作者:  L. T. Han;  Y. C. Zhao;  H. Y. Lv;  Y. S. Zhang;  H. L. Liu and G. L. Bi
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Battery screen print defect detection based on stationary velocity fields neural network matching and optical flow rectification 期刊论文
Review of Scientific Instruments, 2022, 卷号: 93, 期号: 11, 页码: 13
作者:  Z. Zhao;  B. Li;  S. J. Zhang;  T. K. Liu and J. Cao
收藏  |  浏览/下载：0/0  |  提交时间：2023/06/14
Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 5, 页码: 23
作者:  Z. Y. Zhang;  L. L. Zheng;  Y. J. Piao;  S. P. Tao;  W. Xu
收藏  |  浏览/下载：2/0  |  提交时间：2023/06/14

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