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An Annual Temperature Cycle Feature Constrained Method for Generating MODIS Daytime All-Weather Land Surface Temperature
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14
作者:
Yang, Yujia
;
Zhao, Wei
;
Yang, Yanqing
;
Xu, Mengjiao
;
Mukhtar, Hamza
收藏
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浏览/下载:0/0
  |  
提交时间:2024/05/28
Land surface temperature
Climate change
Random forests
Surface treatment
Image resolution
Spectroradiometers
MODIS
Global warming
Meteorology
Surface reconstruction
Spatial resolution
Remote sensing
Clouds
Annual surface temperature cycle
land surface temperature (LST)
Moderate Resolution Imaging Spectroradiometer (MODIS)
random forest regression (RFR)
reconstruction
Remote sensing monitoring of total suspended solids concentration in Jiaozhou Bay based on multi-source data
期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 12
作者:
Zhang, Xiang
;
Huang, Jue
;
Chen, Junjie
;
Zhao, Yongfang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/12/13
Jiaozhou Bay
Total suspended solids concentration
Ocean color
Long-term monitoring
Landsat and MODIS
Deep Pansharpening via 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 17
作者:
Su, Haonan
;
Jin, Haiyan
;
Sun, Ce
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/10/10
spectral super-resolution
pansharpening
discrepancy
3D convolutional neural network
hyperspectral images (HS)
multispectral images (MS)
gradient transfer
Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite
期刊论文
REMOTE SENSING, 2022, 卷号: 14
作者:
Xu, Lingling
;
Xiong, Wei
;
Yi, Weining
;
Qiu, Zhenwei
;
Liu, Xiao
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  |  
浏览/下载:29/0
  |  
提交时间:2022/12/22
Synchronization Monitoring Atmospheric Corrector (SMAC)
Gao Fen Duo Mo (GFDM)
synchronization atmospheric correction
Analysis, Simulations, and Experiments for Far-Field Fourier Ptychography Imaging Using Active Coherent Synthetic-Aperture
期刊论文
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 4
作者:
Yang, Mingyang
;
Fan, Xuewu
;
Wang, Yuming
;
Zhao, Hui
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  |  
浏览/下载:71/0
  |  
提交时间:2022/03/18
Fourier ptychography
coherent illumination
camera-scanning
high-resolution imaging
Defining speckle-based spectral metric from a linear array detector for characterizing the laser focusing spot
期刊论文
Optics Communications, 2022, 卷号: 502, 期号: 7
作者:
D. B. Che
;
T. F. Wang
;
S. Zhang
;
Y. Y. Li
;
Y. Han and Z. Yu
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  |  
浏览/下载:13/0
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提交时间:2022/06/13
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796
作者:
Gao, Le
;
Li, Xiaofeng
;
Kong, Fanzhou
;
Yu, Rencheng
;
Guo, Yuan
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  |  
浏览/下载:25/0
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提交时间:2022/07/18
Algae
MODIS
Synthetic aperture radar
Optical sensors
Optical imaging
Marine vehicles
Spatial resolution
Deep learning (DL)
green algae detection
satellite remote sensing
Directional Total Variation Regularized High-Resolution Prestack AVA Inversion
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:
Huang, Guangtan
;
Chen, Xiaohong
;
Qu, Shan
;
Bai, Min
;
Chen, Yangkang
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/02/17
Mathematical model
Digital TV
Rocks
Media
Data models
Transforms
Tools
Directional total variation (DTV)
high resolution
prestack amplitude variation with angle (AVA) inversion
seismic slope
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 1373-1388
作者:
An, Tai
;
Zhang, Xin
;
Huo, Chunlei
;
Xue, Bin
;
Wang, Lingfeng
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/03/17
Transformers
Superresolution
Satellites
Remote sensing
Task analysis
Deep learning
Image resolution
Deep learning
end-to-end networks
feature extraction and fusion
multiimage super-resolution (MISR)
remote sensing
transformers
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
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