一种高信噪比长波红外多光谱成像系统及其成像方法
By using a high signal-to-noise ratio long-wave infrared multispectral imaging system, and by employing dark channel prior methods and block matching techniques, combined with collaborative filtering techniques, the problem of low signal-to-noise ratio in long-wave infrared imaging under dense fog conditions was solved, thereby improving the accuracy of target detection and recognition.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI INST OF OPTICS & FINE MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2024-10-12
- Publication Date
- 2026-07-17
AI Technical Summary
In dense fog conditions, traditional long-wave infrared imaging technology suffers from low signal-to-noise ratio, weak target signals, and blurred edge features, making segmentation difficult and resulting in poor detection accuracy. This poses a significant technical challenge, especially in detecting small, distant targets.
A high signal-to-noise ratio long-wave infrared multispectral imaging system is adopted. The multispectral imaging system, which consists of a long-wave infrared camera and an adjustable filter, combines dark channel prior method, block matching technology and collaborative filtering technology to remove the effects of atmospheric scattering and absorption, thereby improving image contrast and signal-to-noise ratio.
It significantly improves the quality of infrared imaging under foggy conditions, doubles the signal-to-noise ratio, and enables more accurate target detection and recognition.
Smart Images
Figure CN119469425B_ABST