赤外線画像システムの最小分解温度差検出技術のレビュー

As a passive detection technique, the infrared imaging system provides robust detection capabilities, all-weather operation, and resistance to interference, making it essential in modern warfare. The Minimum Resolvable Temperature Difference (MRTD) is a key metric for evaluating the performance of infrared imaging systems. It reflects the system's ability to discern temperature differences and directly impacts the accuracy of target detection and identification. High-precision MRTD detection technologies are crucial for validating the performance of infrared imaging systems and providing technical support for their development. Although various methods for MRTD detection exist, there is a lack of comprehensive and systematic reviews on this subject. In addition, with the continuous advancement of information technology, artificial intelligence-based detection techniques have introduced significant improvements and breakthroughs in MRTD detection. This paper provides an overview of infrared imaging systems and MRTD detection technologies, reviews the primary methods currently used in MRTD detection, and offers a detailed discussion of each approach.