A5100425202- Advanced Image and Video Retrieval Techniques
- Remote-Sensing Image Classification
- Robotics and Sensor-Based Localization
- Metal Alloys Wear and Properties
- Mechanical stress and fatigue analysis
- Railway Engineering and Dynamics
- Advanced Neural Network Applications
- Advanced Image Fusion Techniques
- Data Management and Algorithms
- Remote Sensing and Land Use
- Advanced Manufacturing and Logistics Optimization
- Remote Sensing in Agriculture
- Advanced Measurement and Detection Methods
- Geographic Information Systems Studies
- Human Mobility and Location-Based Analysis
- Network Security and Intrusion Detection
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Image Processing and 3D Reconstruction
- Industrial Vision Systems and Defect Detection
- Generative Adversarial Networks and Image Synthesis
- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- Business Process Modeling and Analysis
- Satellite Image Processing and Photogrammetry
Southwest Jiaotong University
2019-2025
Jiading District Central Hospital
2023-2025
Shanghai University of Medicine and Health Sciences
2021-2025
Changchun Institute of Applied Chemistry
2025
Chinese Academy of Sciences
2011-2025
University of Science and Technology of China
2025
Nanjing University of Aeronautics and Astronautics
2009-2024
Northwestern Polytechnical University
2024
Ministry of Industry and Information Technology
2024
Oxford Centre for Computational Neuroscience
2023
Image matching is a key preprocessing step for the integrated application of synthetic aperture radar (SAR) and optical images. Due to significant nonlinear intensity differences between such images, automatic them still quite challenging. Recently, structure features have been effectively applied SAR-to-optical image because their robustness differences. However, designed by handcraft are limited achieve further improvement. Accordingly, this letter employs deep learning technique refine...
Deep learning-based change detection (CD) using remote sensing images has received increasing attention in recent years. However, how to effectively extract and fuse the deep features of bi-temporal for improving accuracy CD is still a challenge. To address that, novel adjacent-level feature fusion network with 3D convolution (named AFCF3D-Net) proposed this article. First, through inner property convolution, we design new way that can simultaneously information from images. Then, alleviate...
Over the past few decades, with rapid development of global aerospace and aerial remote sensing technology, types sensors have evolved from traditional monomodal (e.g., optical sensors) to new generation multimodal multispectral, hyperspectral, light detection ranging (LiDAR), synthetic aperture radar (SAR) sensors). These advanced devices can dynamically provide various abundant images (MRSIs) different spatial, temporal, spectral resolutions according application requirements. Since then,...
With the expansion of optical and SAR image fusion application scenarios, it is necessary to integrate their information in land classification, feature recognition, target tracking. Current methods focus excessively on integrating multimodal enhance richness fused images, whereas neglecting highly corrupted visual perception results by modal differences speckle noise. To address that, this paper proposes a novel framework named Visual Saliency Features Fusion (VSFF), which based extraction...
Developing efficient and stable near-infrared emitters related to Cr3+-pairs for advanced optoelectronic devices remains a challenge due concentration quenching effects unclear luminescence mechanisms. In this study, Cr3+ ions are incorporated into matrix structure consisting of ZnAl₂O₄ spinel units separated by 11.312 Å, effectively restricting energy transfer between luminescent centers alleviating effects. Computational analysis identifies the lattice positions isolated at different...
Co-registering the Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical data of European Space Agency (ESA) is great importance for many remote sensing applications. However, we find that there are evident misregistration shifts between SAR images directly downloaded from official website. To address that, this paper presents a fast effective registration method two types images. In proposed method, block-based scheme first designed to extract evenly distributed interest points....
Abstract Surface damages on rail became severe with the increase in axle load and speed. Laser cladding was used to repair local surfaces ensure service performance prolong life of rails. In present study, five types materials (304, 314, 2Cr13, 316L, 434L) were clad at a small part (trapezoidal shape) disc simulate defected field. Vickers hardness tester, optical microscopy (OM), scanning electron (SEM), electron-dispersive X-ray spectroscopy (EDS) employed investigate properties repaired...
Building change detection plays an imperative role in urban construction and development. Although the deep neural network has achieved tremendous success remote sensing image building detection, it is still fraught with problem of generating broken boundaries separation dense buildings, which tends to produce saw-tooth boundaries. In this work, we propose a feature decomposition-optimization-reorganization for detection. The main contribution proposed that performs by respectively modeling...
Abstract One key aspect of animal intelligence is the ability to find, represent and update knowledge statistical regularities in sensory environment, service adaptive behaviour. This allows animals build appropriate priors, order disambiguate noisy inputs, make predictions act more efficiently. Here, we compare human, rat, mouse performance on a 2-alternative-forced-choice sound categorisation task. Importantly, manipulate stimulus statistics without affecting overall weight each category,...
After the Smart City initiative was put forward, cities all over world started pilot practice of developing Cities. This triggered a series thoughts: what is City, how do we determine scope work and formulate new strategic agenda to make city smarter more sustainable? The answer lies not only in finding solutions, but also leads research on definition terminology determination corresponding tasks. Stakeholders (e.g., policy makers, municipalities, solution providers, industry, academia)...
We present the Simba (<u>S</u>patial <u>I</u>n-Memory <u>B</u>ig data <u>A</u>nalytics) system, which offers scalable and efficient in-memory spatial query processing analytics for big data. natively extends Spark SQL engine to support rich queries through both DataFrame API. It enables construction of indexes over RDDs inside in order work with complex operations. also comes an effective optimizer, leverages its novel spatial-aware optimizations, achieve low latency high throughput...
Although the unique advantages of optical and synthetic aperture radar (SAR) images promote their fusion, integration complementary features from two types data effective fusion remains a vital problem. To address that, novel framework is designed based on observation that structure SAR texture look complementary. The proposed framework, named SOSTF, an unsupervised end-to-end network aims to integrate structural detailed into results. method adopts nest connect-based architecture, including...
In this paper, we aim to mine turn delay at different times and types in city road network based on personal GPS collected trajectories. We provide a method effectively solve the problem for computing delay. By using method, can rapidly process massive trajectory data, explore predict network. Through map-matching pre-processing work firstly extract records from time that people pass across intersection. Limited by range of collection, these cannot cover all intersection times. Therefore,...