- Infrared Target Detection Methodologies
- Calibration and Measurement Techniques
- Advanced Image Fusion Techniques
- CCD and CMOS Imaging Sensors
- Remote-Sensing Image Classification
- Photoacoustic and Ultrasonic Imaging
- Atmospheric Ozone and Climate
- Optical Systems and Laser Technology
Shanghai Institute of Technical Physics
2022-2024
University of Chinese Academy of Sciences
2022-2024
Although the thermal infrared remote sensing camera plays a pivotal role in Earth observation, and impacts target detection, surface temperature inversion, subsequent space missions significantly, imaging quality of is constrained by its optics, image sensors, electronics during on-orbit operation. At same time, traditional blind recovery algorithms, which require extensive time for estimating intricate blur kernels, encounter challenges due to varying atmospheric conditions other factors...
The Sustainable Development Science Satellite (SDGSAT-1) was successfully launched on 5th November 2021. It is the world's first scientific satellite dedicated to serving United Nations 2030 Agenda for Development. To evaluate on-orbit image quality of its thermal infrared spectrometer (TIS), we propose an improved edge slope calculation method. Learning from past academic research, found that traditional slop (ES) methods are limited by various factors. For example, it demands highly...
Thermal infrared imagery plays an important role in a variety of fields, such as surface temperature inversion and urban heat island effect analysis, but the spatial resolution has severely restricted potential for further applications. Data fusion is defined data combination using multiple sensors, fused information often better results than when sensors are used alone. Since multi-resolution analysis considered effective method image fusion, we propose MTF-GLP-TAM model to combine thermal...