A5082154263- Remote-Sensing Image Classification
- Fault Detection and Control Systems
- Infrared Target Detection Methodologies
- Remote Sensing and Land Use
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Image Fusion Techniques
- GNSS positioning and interference
- Guidance and Control Systems
- Remote Sensing in Agriculture
- 3D Surveying and Cultural Heritage
- Microwave Imaging and Scattering Analysis
- Image Retrieval and Classification Techniques
- Geophysical Methods and Applications
- Underwater Vehicles and Communication Systems
- Radar Systems and Signal Processing
- Indoor and Outdoor Localization Technologies
- Thermography and Photoacoustic Techniques
- Underwater Acoustics Research
- Spectroscopy and Chemometric Analyses
Xidian University
2024
Wageningen University & Research
2024
Wuhan University
2017-2019
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2017-2019
Northwestern Polytechnical University
2018
In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and lightweight hyperspectral imaging (HSI) sensors, mini-UAV-borne remote sensing (HRS) systems have been developed demonstrate great value application potential. Compared to spaceborne airborne HSI systems, come relatively low manufacturing running costs thus become a new research focus in field HRS.
High-resolution visible remote sensing imagery and thermal infrared hyperspectral are potential data sources for land-cover classification. In this paper, in order to make full use of these two types imagery, a spatial-spectral-emissivity classification method based on the fusion is proposed, namely, SSECRF (spatial-spectral-emissivity conditional random fields). A spectral-spatial feature set constructed considering spectral variability spatial-contextual information, extract features from...
When tracking maneuvering targets, model-driven approaches encounter difficulties in comprehensively delineating complex real-world scenarios and are prone to model mismatch when the targets maneuver. Meanwhile, contemporary data-driven methods have overlooked measurements' confidence, markedly escalating challenge of fitting a mapping from measurement sequences target state sequences. To address these issues, this paper presents deep methodology based on space projection. The proposed...
This article discusses the problem of active detection and estimation for elevation angle a target in homogeneous shallow sea environment, where method using on virtual time reversal (ADVTR) is proposed to solve estimator performance decline caused by multipath clutter.Unlike conventional passive ignoring effect, ADVTR will take full account which exploits (AD) estimate channel, (VTR) realize focusing computer increase signal-to-noise ratio (SNR) after source-receive array (SRA) receives...