Results 51 to 60 of about 278,436 (276)

A Lightweight Machine-Learning Method for Cloud Removal in Remote Sensing Images Constrained by Conditional Information

Remote Sensing
Reconstructing cloud-covered regions in remote sensing (RS) images holds great promise for continuous ground object monitoring. A novel lightweight machine-learning method for cloud removal constrained by conditional information (SMLP-CR) is proposed ...
Wenyi Zhang, Haoran Zhang, Xisheng Zhang, Xiaohua Shen, Lejun Zou   +4 more
doaj   +1 more source

Atmospheric Chemistry in Giant Planets, Brown Dwarfs, and Low-Mass Dwarf Stars III. Iron, Magnesium, and Silicon [PDF]

, 2010
We use thermochemical equilibrium calculations to model iron, magnesium, and silicon chemistry in the atmospheres of giant planets, brown dwarfs, extrasolar giant planets (EGPs), and low-mass stars.
Bruce Fegley, Burgasser, Burgasser, Burgasser, Burrows, Burrows, Channon Visscher, Chase, Cushing, Cushing, Cushing, Edvardsson, Fegley, Geballe, Gurvich, Jones, Katharina Lodders, Kirkpatrick, Lisse, Lodders, Lodders, Lodders, Lodders, Lodders, McLean, Meléndez, Nakajima, Reid, Robie, Tsuji, Visscher, Weck   +31 more
core   +1 more source

Harmonizing the Pyrene and Ether Groups in Covalent Triazine Polymers for Highly Effective H2O2 Photosynthesis via One‐Step Two‐Electron Oxygen Reduction

Advanced Functional Materials, EarlyView.
The pyrene and ether groups are incorporated into the covalent triazine polymer (CTP) structure. The synergistic effect of the two functional groups endows CTP with better electron transfer, light absorption, and oxygen activation properties. An impressive apparent quantum yield (13.2% @420 nm) and a remarkable solar‐to‐chemical conversion efficiency ...
Chong Wang, Jinliang Lv, Yichun Lu, Hanfeng Ye, Xuan Zhang, Leonardo Cancellara, Nadezda Tarakina, Jiande Lin, Xin Gao, Oleksandr Savateev, Jiajia Cheng   +10 more
wiley   +1 more source

CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks

Remote Sensing
We present a method for cloud removal from satellite images using axial transformer networks. The method considers a set of multi-temporal images in a given region of interest, together with the corresponding cloud masks, and produces a cloud-free image ...
Dionysis Christopoulos, Valsamis Ntouskos, Konstantinos Karantzalos   +2 more
doaj   +1 more source

A deep-learning reconstruction method for remote sensing images with large thick cloud cover

International Journal of Applied Earth Observations and Geoinformation, 2022
Thick cloud and cloud shadow often exist in optical remote sensing (RS) images, which limit the application range of RS data. To solve this challenging problem, we propose a multitemporal-based method of cloud removal to reconstruct the large cloud-cover
Bo Jiang, Xiaoyang Li, Haozhan Chong, Yuwei Wu, Yaowei Li, Junhao Jia, Shuaibo Wang, Jinshuai Wang, Xiaoxuan Chen   +8 more
doaj   +1 more source

Hydrogen‐Bond‐Rich Supramolecular Multiblock Copolymers Facilitate Rapid Zn2+ Migration in Quasi‐Solid‐State Zinc‐Ion Batteries

Advanced Functional Materials, EarlyView.
The disordered growth of dendrites, corrosion, parasitic side reactions, slow de‐solvation kinetics, and inherent safety risks significantly hinder the practical deployment of conventional liquid electrolyte zinc‐ion batteries. In contrast, the novel PU‐EG+DMPA‐Zn polyurethane quasi‐solid‐state electrolyte, enriched with abundant polar functional ...
Ruiqi Liu, Changding Wang, Fu Wan, Kaida Hu, Da Yang, Yaoyang Xia, Wenwei Yin, Yupeng Lin, Yuejiao Chen, Shuhui Sun, Weigen Chen   +10 more
wiley   +1 more source

A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery

Remote Sensing, 2018
Cloud removal is a prerequisite for the application of Landsat datasets, as such satellite images are invariably contaminated by clouds. Clouds affect the transmission of radiation signal to different degrees because of their different thicknesses ...
Shuli Chen, Xuehong Chen, Xiang Chen, Jin Chen, Xin Cao, Miaogen Shen, Wei Yang, Xihong Cui   +7 more
doaj   +1 more source

Multi-Temporal Landsat Data Automatic Cloud Removal Using Poisson Blending

IEEE Access, 2020
Cloud and cloud shadow are common issues in optical satellite imagery, which greatly reduce the usage of data archive. As for the Landsat data, great advances have been made on detecting cloud and cloud shadow.
Changmiao Hu, Lian-Zhi Huo, Zheng Zhang, Ping Tang   +3 more
doaj   +1 more source

Frameless ALOHA with Reliability-Latency Guarantees [PDF]

, 2017
One of the novelties brought by 5G is that wireless system design has increasingly turned its focus on guaranteeing reliability and latency. This shifts the design objective of random access protocols from throughput optimization towards constraints ...
Lazaro, Francisco, Popovski, Petar, Stefanovic, Cedomir   +2 more
core   +2 more sources

LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
LiDARs have been widely adopted to modern self-driving vehicles, providing 3D information of the scene and surrounding objects. However, adverser weather conditions still pose significant challenges to LiDARs since point clouds captured during snowfall can easily be corrupted.
Yu, Ming-Yuan, Vasudevan, Ram, Johnson-Roberson, Matthew   +2 more
openaire   +2 more sources