A5011831671- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Underwater Acoustics Research
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
- Advanced Electron Microscopy Techniques and Applications
- Military Defense Systems Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Geophysical Methods and Applications
- Advanced X-ray Imaging Techniques
- Image Enhancement Techniques
- Morphological variations and asymmetry
- Guidance and Control Systems
Tongji University
2023-2024
Synthetic aperture radar (SAR) is a vital tool for ship detection, as it acquires high-resolution remote sensing images when optical cannot penetrate. However, two primary challenges confronting SAR detection are complex backgrounds with islands, clutter, and land, well diverse scales of targets, particularly small ones, leading to numerous missed detections false alarms. To overcome these challenges, we propose multi-granularity-aware network (MGA-Net). Specifically, design...
With the continuous advancement of Remote Sensing (RS) technology, RS ship detection plays a crucial role in ensuring maritime safety and oceanic economy, but it also faces various challenges. Most existing methods typically apply deblurring processing to all input images before using Feature Pyramid Network (FPN) detect ships different sizes. However, this indiscriminate operation may cause image quality degradation due excessive deblurring. Moreover, FPN has limitations fully utilizing...
Abstract Due to the characteristics of high resolution and rich texture information, visible light images are widely used for maritime ship detection. However, these susceptible sea fog ships different sizes, which can result in missed detections false alarms, ultimately resulting lower detection accuracy. To address issues, a novel multi‐granularity feature enhancement network, MFENet, includes three‐way dehazing module (3WDM) (MFEM) is proposed. The 3WDM eliminates interference by using an...