Explanipedia

Quantitative Assessment of the Impact of Port Construction on the Surrounding Mudflat Topography Based on Remote Sensing—A Case Study of Binhai Port in Jiangsu Province Open

Binbin Chen, Zhengdong Chen, Chuping Song, Xiaoping Pang, Peixun Liu , et al. · 2024

Activities, particularly harbor construction, often exert significant and non-negligible impacts on coastal environments. Therefore, it is of great practical importance to quantitatively assess the effects of such construction on the surro…

STs-NeRF: Novel View Synthesis of Space Targets Based on Improved Neural Radiance Fields Open

Kaidi Ma, Peixun Liu, Haijiang Sun, Jiawei Teng · 2024

Since Neural Radiation Field (NeRF) was first proposed, a large number of studies dedicated to them have emerged. These fields achieved very good results in their respective contexts, but they are not sufficiently practical for our project…

Unraveling the roles of fault asperities over earthquake cycles Open

Lifeng Wang, Shiqing Xu, Yan‐Qun Zhuo, Peixun Liu, Shengli Ma · 2024

An Improved TransMVSNet Algorithm for Three-Dimensional Reconstruction in the Unmanned Aerial Vehicle Remote Sensing Domain Open

Jiawei Teng, Haijiang Sun, Peixun Liu, Shan Jiang · 2024

It is important to achieve the 3D reconstruction of UAV remote sensing images in deep learning-based multi-view stereo (MVS) vision. The lack of obvious texture features and detailed edges in UAV remote sensing images leads to inaccurate f…

Comprehensive Benefit Evaluation Method of Mountain Flood Disaster Prevention and Control in Jiangxi Province Based on Matter-Element Extension Model Open

Peixun Liu, Yuanyuan Shao, Jiawen Ye, P. Shi, Dingbo Yuan , et al. · 2024

CCC-SSA-UNet: U-Shaped Pansharpening Network with Channel Cross-Concatenation and Spatial–Spectral Attention Mechanism for Hyperspectral Image Super-Resolution Open

Zhichao Liu, Guangliang Han, Hang Yang, Peixun Liu, Dianbing Chen , et al. · 2023

A hyperspectral image (HSI) has a very high spectral resolution, which can reflect the target’s material properties well. However, the limited spatial resolution poses a constraint on its applicability. In recent years, some hyperspectral …

Estimation of terrestrial heat flow in hydrothermally active areas based on long-term bedrock temperature observations: a case study of northwestern Yunnan, China Open

Wenchao Wang, Qiongying Liu, Shunyun Chen, Peixun Liu, Lichun Chen · 2023

Terrestrial heat flow plays an important role in the study of plate tectonics, geothermal resource exploration and earthquake genesis. The measurement of terrestrial heat flow usually utilizes deep boreholes, which is expensive and inconve…

Acquisition of Spatial and Temporal Characteristics of Shallow Groundwater Movement Based on Long-Term Temperature Time Series in the Kangding Area, Eastern Tibetan Plateau Open

Bo Zhou, Qiongying Liu, Shunyun Chen, Peixun Liu · 2023

Heat has been widely used as a groundwater tracer to determine groundwater flow direction and velocity in a way that is ubiquitous, low-cost, environmentally friendly, and easy to use. However, temperature observations are generally short-…

Prospect and research progress of detecting dynamic change in crustal stress by bedrock temperature Open

Shunyun Chen, Qiongying Liu, Peixun Liu, Yan‐Qun Zhuo · 2023

A new method of detecting stress change by temperature (DSCT), has been recently proposed on the basis of the experimental results in laboratory, and verified by field observation. In this paper, at first, physical background is concisely …

A Multiscale Cross Interaction Attention Network for Hyperspectral Image Classification Open

Dongxu Liu, Yirui Wang, Peixun Liu, Qingqing Li, Hang Yang , et al. · 2023

Convolutional neural networks (CNNs) have demonstrated impressive performance and have been broadly applied in hyperspectral image (HSI) classification. However, two challenging problems still exist: the first challenge is that redundant i…

An Algorithm of Acoustic Emission Location for Complex Composite Structure Open

Peixun Liu, Yanshuang Guo, Yan‐Qun Zhuo, Wenbo Qi, Jiahui Feng , et al. · 2022

Acoustic emission (AE) is widely used in engineering and rock mechanics. The algorithm of AE location based on homogeneous medium or single velocity structure is confronted with lower accuracy when it is applied to the actual working condi…

A Multibranch Crossover Feature Attention Network for Hyperspectral Image Classification Open

Dongxu Liu, Yirui Wang, Peixun Liu, Qingqing Li, Hang Yang , et al. · 2022

Recently, hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have shown impressive performance. However, HSI classification still faces two challenging problems: the first challenge is that most e…

A Potential Mechanism of the Satellite Thermal Infrared Seismic Anomaly Based on Change in Temperature Caused by Stress Variation: Theoretical, Experimental and Field Investigations Open

Peixun Liu, Shunyun Chen, Qiongying Liu, Yanshuang Guo, Yaqiong Ren , et al. · 2022

Satellite thermal infrared remote sensing has received worldwide attention in earthquake-precursors exploration. Meanwhile, it has also encountered great controversy due to the lack of quantitative interpretation of the observations, despi…

A Hybrid-Order Spectral-Spatial Feature Network for Hyperspectral Image Classification Open

Dongxu Liu, Guangliang Han, Peixun Liu, Yirui Wang, Hang Yang , et al. · 2022

Convolutional neural networks are widely applied in hyperspectral image (HSI) classification and show excellent performance. However, there are two challenges: the first is that fine features are generally lost in the process of depth tran…

A Discriminative Spectral-Spatial-Semantic Feature Network Based on Shuffle and Frequency Attention Mechanisms for Hyperspectral Image Classification Open

Dongxu Liu, Guangliang Han, Peixun Liu, Hang Yang, Dianbing Chen , et al. · 2022

Due to end-to-end optimization characteristics and fine generalization ability, convolutional neural networks have been widely applied to hyperspectral image (HSI) classification, playing an irreplaceable role. However, previous studies st…

Nucleation process of laboratory earthquakes on a submeter fault under different normal stresses Open

Peixun Liu, Yan‐Qun Zhuo, Yanshuang Guo, Wenbo Qi, Shunyun Chen , et al. · 2021

We conducted friction experiments on a 669 mm long granodiorite simulated fault to study the detailed spatiotemporal evolutions of nucleation zones (characterized by the strain-releasing zones) of stick-slip events under four different nor…

Nucleation process of laboratory earthquakes on a submeter fault under different normal stresses Open

Peixun Liu, Yan‐Qun Zhuo, Yanshuang Guo, Wenbo Qi, Shunyun Chen , et al. · 2021

We conducted friction experiments on a 669 mm long granodiorite simulated fault to study the detailed spatiotemporal evolutions of nucleation zones (characterized by the strain-releasing zones) of stick-slip events under four different nor…

A Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion for Hyperspectral Image Classification Open

Dongxu Liu, Guangliang Han, Peixun Liu, Hang Yang, Xinglong Sun , et al. · 2021

Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance. However, hyperspectral image classification still s…

Updatable Siamese Tracker with Two-stage One-shot Learning Open

Xinglong Sun, Guangliang Han, Guo Li-hong, Tingfa Xu, Jianan Li , et al. · 2021

Offline Siamese networks have achieved very promising tracking performance, especially in accuracy and efficiency. However, they often fail to track an object in complex scenes due to the incapacity in online update. Traditional updaters a…

An Infrared-Visible Image Registration Method Based on the Constrained Point Feature Open

Qingqing Li, Guangliang Han, Peixun Liu, Hang Yang, Huiyuan Luo , et al. · 2021

It is difficult to find correct correspondences for infrared and visible image registration because of different imaging principles. Traditional registration methods based on the point feature require designing the complicated feature desc…

Saliency Detection with Bilateral Absorbing Markov Chain Guided by Depth Information Open

Jiajia Wu, Guangliang Han, Peixun Liu, Hang Yang, Huiyuan Luo , et al. · 2021

The effectiveness of depth information in saliency detection has been fully proved. However, it is still worth exploring how to utilize the depth information more efficiently. Erroneous depth information may cause detection failure, while …

An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information Open

Qingqing Li, Guangliang Han, Peixun Liu, Hang Yang, Jiajia Wu , et al. · 2021

Infrared and visible image fusion is a hot topic due to the perfect complementarity of their information. There are two key problems in infrared and visible image fusion. One is how to extract significant target areas and rich texture deta…

Progressive Guided Fusion Network With Multi-Modal and Multi-Scale Attention for RGB-D Salient Object Detection Open

Jiajia Wu, Guangliang Han, Haining Wang, Hang Yang, Qingqing Li , et al. · 2021

The depth map contains abundant spatial structure cues, which makes it extensively introduced into saliency detection tasks for improving the detection accuracy. Nevertheless, the acquired depth map is often with uneven quality, due to the…

Detection of groundwater flux changes in response to two large earthquakes using long-term bedrock temperature time series Open

Qiongying Liu, Shunyun Chen, Lichun Chen, Peixun Liu, Zhuzhuan Yang , et al. · 2020

Exploring Changes in Land Surface Temperature Possibly Associated with Earthquake: Case of the April 2015 Nepal Mw 7.9 Earthquake Open

Shunyun Chen, Peixun Liu, Tao Feng, Dong Wang, Zhonghu Jiao , et al. · 2020

Satellite thermal infrared remote sensing has received worldwide attention in the exploration for earthquake precursors; however, this method faces great controversy. Obtaining repeatable phenomena related to earthquakes is helpful to redu…

Vehicle Detection on Unmanned Aerial Vehicle Images based on Saliency Region Detection Open

Wenhui Li, Feng Qu, Peixun Liu · 2019

The target detection and tracking technology of the unmanned aerial vehicle (UAV) is an important research direction in the field of UAV aerial photography.In order to effectively and accurately detect vehicles in a UAV platform and in com…

Infrared LSS-Target Detection Via Adaptive TCAIE-LGM Smoothing and Pixel-Based Background Subtraction Open

Yanfeng Wu, Yanjie Wang, Peixun Liu, Huiyuan Luo, Boyang Cheng , et al. · 2018

Infrared small target detection is a significant and challenging topic for daily security. This paper proposes a novel model to detect LSS-target (low altitude, slow speed, and small target) under the complicated background. Firstly, the f…

Salient Region Detection Using Diffusion Process with Nonlocal Connections Open

Huiyuan Luo, Guangliang Han, Peixun Liu, Yanfeng Wu · 2018

Diffusion-based salient region detection methods have gained great popularity. In most diffusion-based methods, the saliency values are ranked on 2-layer neighborhood graph by connecting each node to its neighboring nodes and the nodes sha…

Moving Object Detection Based on Codebook Algorithm and Three-frame Difference Open

Shuai Li, Peixun Liu, Guangliang Han · 2017

In this paper, we propose a moving object detection method based on codebook and threeframe difference.The method uses codebook to learn the background and the three-frame difference is employed to extract initial foreground object, then w…

On-board Robust Vehicle Detection Using Knowledge-based Features and Motion Trajectory Open

Wenhui Li, Peixun Liu, Ying Wang, Hongyin Ni, Chao Wen , et al. · 2015

This paper presents a robust and efficient method for vehicle detection in dynamic traffic environments. First, two adaptive vehicle hypothesis generation methods based on shadow and vehicle wave are presented, and then we assemble these t…

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