A5035099275- Remote-Sensing Image Classification
- Advanced Image and Video Retrieval Techniques
- Remote Sensing and Land Use
- Advanced Image Fusion Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Robotics and Sensor-Based Localization
- Image Enhancement Techniques
- Marine and coastal ecosystems
- Advanced oxidation water treatment
- Infrared Target Detection Methodologies
- Urban Transport and Accessibility
- Advanced Photocatalysis Techniques
- Urban Green Space and Health
- Remote Sensing and LiDAR Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Measurement and Detection Methods
- earthquake and tectonic studies
- Image Retrieval and Classification Techniques
- Automated Road and Building Extraction
- Conducting polymers and applications
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Infrastructure Maintenance and Monitoring
- Rock Mechanics and Modeling
Nanjing University of Aeronautics and Astronautics
2019-2025
Tongji University
2025
State Key Laboratory of Pollution Control and Resource Reuse
2022-2024
Nanjing University
2022-2024
East China Normal University
2022-2024
Dalian University of Foreign Languages
2024
Beijing University of Posts and Telecommunications
2023
University of Science and Technology Beijing
2022-2023
University of Science and Technology Liaoning
2023
Hebei University
2017-2022
Stretchable ionogels have recently emerged as promising soft and safe ionic conductive materials for use in wearable stretchable electrochemical devices. However, the complex preparation process insufficient thermomechanical stability greatly limit precise rapid fabrication application of ionogels. Here, we report an situ 3D printing method fabricating high-performance single network chemical advanced strain sensors. The consist a special cross-linking constructed by poly(ionic liquid)...
Shadows in remotely sensed images create difficulties many applications; thus, they should be effectively detected prior to further processing. This paper presents a novel semiautomatic shadow detection method that meets the requirements of both high accuracy and wide practicability remote sensing applications. The proposed uses only properties derived from samples dynamically generate feature space calculate decision parameters; then, it employs series transformations separate nonshadow...
Highly anisotropic conductive poly(ionic liquid)s-based liquid crystalline nanocomposite ionogel with superior ionic conductivity and high modulus has been successfully fabricated.
The device has a dark current of 12.09 pA and achieves an outstanding responsivity 44.09 A W −1 , high detectivity 5.84 × 10 12 Jones.
As spatial resolution increases, the information conveyed by remote sensing images becomes more and complex. Large-scale variation highly discrete distribution of objects greatly increase challenge semantic segmentation task for images. Mainstream approaches usually use implicit attention mechanisms or Transformer modules to achieve global context good results. However, these fail explicitly extract intra-object consistency inter-object saliency features leading unclear boundaries incomplete...
The rapid and accurate detection of road cracks is great significance for health monitoring, but currently, this work mainly completed through manual site surveys. Low-altitude UAV remote sensing can provide images with a centimeter-level or even subcentimeter-level ground resolution, which provides new, efficient, economical approach crack detection. Nevertheless, networks face challenges such as edge blurring misidentification due to the heterogeneity complexity background. To address...
Remote sensing (RS) images are widely used in civilian and military fields. With the highly increasing image data, it has become a challenging issue to achieve fast efficient RS retrieval. However, existing retrieval methods, text-based or content-based, still limited applications; for example, text input is inefficient, sample query often unavailable. It known that speech natural convenient way of communication. Therefore, novel speech-image cross-modal approach, named deep visual-audio...
Object detection is an important task of remote sensing applications. In recent years, with the development deep convolutional neural networks, object in images has made great improvements. However, large variation scales and complex scenarios will seriously affect performance detectors. To solve these problems, a novel algorithm based on multi-receptive-field features relation-connected attention proposed for to achieve more accurate results. Specifically, we propose feature extraction...
A highly stretchable and wide-temperature adaptable hydrophobic ionogel has been designed. The based sensor shows excellent durability good stability no matter in the air with different humidity environments or aquatic environments.
With the improvement of spatial resolution, conveyed information remote sensing images has become increasingly intricate. The semantic content pixels within same object exhibits considerable variability, while between different objects significant overlap. However, most existing approaches focus solely on establishing internal consistency by aggregating global or multi-scale contextual without adequately considering orientation and spatially detailed features target. Moreover, these methods...