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CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:
Wan, Ling
;
Tian, Ye
;
Kang, Wenchao
;
Ma, Lei
收藏
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浏览/下载:1/0
  |  
提交时间:2024/02/20
Feature extraction
Task analysis
Remote sensing
Transformers
Deep learning
Semantics
Support vector machines
Category context learning (CCL)
clustering learning (CL)
difference map refinement (DMR)
optical remote sensing image
change detection (CD)
Research on Image Motion Compensation Technology of Aerial Camera with Fast Sweeping
会议论文
Virtual, Online, China, 2022-01-14
作者:
Chen, Weining
;
Cheng, Gong
;
Yang, Hongtao
;
Chang, Sansan
;
Peng, Jianwei
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  |  
浏览/下载:13/0
  |  
提交时间:2022/07/14
Aerial Camera
Imaging Width
Swing-scan Image Motion
High-speed Swing Mirror
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
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浏览/下载:8/0
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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
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浏览/下载:0/0
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提交时间:2023/06/14
Joint Frequency-Spatial Domain Network for Remote Sensing Optical Image Change Detection
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Zhou, Yuan
;
Feng, Yanjie
;
Huo, Shuwei
;
Li, Xiaofeng
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浏览/下载:6/0
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提交时间:2022/12/09
Feature extraction
Frequency-domain analysis
Remote sensing
Optical sensors
Optical imaging
Frequency domain analysis
Optical fiber networks
Change detection
deep learning
frequency domain
neural network
optical image
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
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提交时间:2023/07/17
Reconstruction of a leaking gas cloud from a passive FTIR scanning remote-sensing imaging system
期刊论文
APPLIED OPTICS, 2021, 卷号: 60
作者:
Hu, Yunyou
;
Xu, Liang
;
Shen, Xianchun
;
Jin, Ling
;
Xu, Hanyang
收藏
  |  
浏览/下载:31/0
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提交时间:2021/11/29
Sun glint correction with an inherent optical properties data processing system
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 卷号: 42, 期号: 2, 页码: 617-638
作者:
Chen, Jun
;
He, Xianqiang
;
Liu, Zhongli
;
Lin, Nan
;
Xing, Qianguo
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  |  
浏览/下载:25/0
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提交时间:2021/06/16
Image reconstruction based on fused features and perceptual loss encoder-decoder residual network for space optical remote sensing images compressive sensing
期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 50413-50425
作者:
S. Xiao
;
S. Wang and L. Chang
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浏览/下载:3/0
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提交时间:2022/06/13
Detection Capability Verification and Performance Test for the High Resolution Imaging Camera of Chinas Tianwen-1 Mission
期刊论文
Space Science Reviews, 2021, 卷号: 217, 期号: 6
作者:
W. Yan
;
J. Liu
;
X. Ren
;
C. Li
;
Q. Fu
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  |  
浏览/下载:2/0
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提交时间:2022/06/13
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