1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN6 papers
- Wuhan UniversityCN6 papers
- First Institute of OceanographyCN5 papers
- Ministry of Education of the People's Republic of ChinaCN5 papers
- Second Institute of OceanographyCN5 papers
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)CN4 papers
- National University of Defense TechnologyCN3 papers
- South China University of TechnologyCN3 papers
- Dalian University of TechnologyCN2 papers
- Fujian Institute of OceanographyCN2 papers
- Guangzhou Marine Geological SurveyCN2 papers
- Hohai UniversityCN2 papers
32 papers
Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network
Shaocong Zhu, Zhiwei Li, Xinghua Li +1
Clouds significantly affect the quality of optical satellite images, which seriously limits their precise application. Recently, deep learning has been widely applied to cloud dete…
A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval
Tian Xie, Menghui Jiang, Chao Zeng +4
Land surface temperature (LST) is a fundamental physical variable in land-atmosphere interactions, surface energy budgets, and climate processes. LST derived from medium- to high-r…
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature
Tian Xie, Menghui Jiang, Huanfeng Shen +5
Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inve…
STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation
Mingyuan Shao, Zhengqiu Fu, Dingzhao Li +6
Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR…
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model
Jiali Chen, Xusen Hei, Yuqi Xue +3
Chinese literary classics hold significant cultural and educational value, offering deep insights into morality, history, and human nature. These works often include classical Chin…
BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregation
Yonghui Tan, Xiaolong Li, Yishu Chen +1
The purpose of remote sensing image change detection (RSCD) is to detect differences between bi-temporal images taken at the same place. Deep learning has been extensively used to…
Quantitative causality, causality-guided scientific discovery, and causal machine learning
X. San Liang, Dake Chen, Renhe Zhang
It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intell…
Measuring the speed of scalar induced gravitational waves from observations
Jun Li, Guang-Hai Guo
We investigate the scalar induced gravitational waves which propagate with a speed different from the speed of light. First, we analytically calculate the expression of the power s…
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
Libo Wang, Sijun Dong, Ying Chen +3
Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation applications, such as land use land cover mapping, environment monitoring, an…
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization
Sijie Zhao, Xueliang Zhang, Pengfeng Xiao +1
Change detection is a critical task in earth observation applications. Recently, deep learning-based methods have shown promising performance and are quickly adopted in change dete…
Research and experimental verification on low-frequency long-range underwater sound propagation dispersion characteristics under dual-channel sound speed profiles in the Chukchi Plateau
Jinbao Weng, Yubo Qi, Yanming Yang +3
The dual-channel sound speed profiles of the Chukchi Plateau and the Canadian Basin have become current research hotspots due to their excellent low-frequency sound signal propagat…
The role of hydrodynamics for the spatial distribution of high-temperature hydrothermal vent-endemic fauna in the deep ocean environment
Zhiguo He, Yingzhong Lou, Haoyang Zhang +7
Active hydrothermal vents provide the surrounding submarine environment with substantial amounts of matter and energy, thus serving as important habitats for diverse megabenthic co…
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao +2
Self-supervised learning (SSL) has gained widespread attention in the remote sensing (RS) and earth observation (EO) communities owing to its ability to learn task-agnostic represe…
Revisiting the definition of rapid intensification of tropical cyclones by clustering the initial intensity and inner-core size
Yi Li, Youmin Tang, Ralf Toumi +1
Rapid intensification (RI) of tropical cyclones (TCs) provides a great challenge in operational forecasting and contributes significantly to the development of major TCs. RI is com…
The Roads One Must Walk Down: Commute and Depression for Beijing's Residents
Xize Wang, Tao Liu
As a vital aspect of individual's quality of life, mental health has been included as an important component of the U.N. Sustainable Development Goals. This study focuses on a spec…
Model-Driven Based Deep Unfolding Equalizer for Underwater Acoustic OFDM Communications
Hao Zhao, Cui Yang, Yalu Xu +3
It is challenging to design an equalizer for the complex time-frequency doubly-selective channel. In this paper, we employ the deep unfolding approach to establish an equalizer for…
Application of a Spectral Method to Simulate Quasi-Three-Dimensional Underwater Acoustic Fields
Houwang Tu, Yongxian Wang, Wei Liu +4
The calculation of a three-dimensional underwater acoustic field has always been a key problem in computational ocean acoustics. Traditionally, this solution is usually obtained by…
The 2175 Å~ Bump Features in FeLoBAL Quasars: One Indicator of MW-like Dust in the Nuclear Region of Quasar
Shaohua Zhang, Jian Ge, Tuo Ji +8
To investigate the properties of dust in the nuclear region of quasars, we explored the extinction curves of the iron low-ionization broad absorption line (FeLoBAL) quasar SDSS J16…
A Novel Algorithm to Solve for an Underwater Line Source Sound Field Based on Coupled Modes and a Spectral Method
Houwang Tu, Yongxian Wang, Chunmei Yang +4
A high-precision numerical sound field is the basis of underwater target detection, positioning and communication. A line source in a plane is a common type of sound source in comp…
Building extraction with vision transformer
Libo Wang, Shenghui Fang, Rui Li +1
As an important carrier of human productive activities, the extraction of buildings is not only essential for urban dynamic monitoring but also necessary for suburban construction…
A Chebyshev-Tau Spectral Method for Coupled Modes of Underwater Sound Propagation in Range-Dependent Ocean Environments
Houwang Tu, Yongxian Wang, Chunmei Yang +3
The stepwise coupled-mode model is a classic approach for solving range-dependent sound propagation problems. Existing coupled-mode programs have disadvantages such as high computa…
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang, Rui Li, Ce Zhang +4
Semantic segmentation of remotely sensed urban scene images is required in a wide range of practical applications, such as land cover mapping, urban change detection, environmental…
A deep learning method for solving high-order nonlinear soliton equation
Shikun Cui, Zhen Wang, Jiaqi Han +1
We propose effective scheme of deep learning method for high-order nonlinear soliton equation and compare the activation function for high-order soliton equation. The neural networ…
Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications
Hao Zhao, Fei Ji, Quansheng Guan +4
Sixth-generation wireless communication (6G) will be an integrated architecture of "space, air, ground and sea". One of the most difficult part of this architecture is the underwat…