Abstract:
Infrared (IR) small target detection is a central technology used in IR detection systems. However, it is challenging to quickly and accurately detect small targets of di...Show MoreMetadata
Abstract:
Infrared (IR) small target detection is a central technology used in IR detection systems. However, it is challenging to quickly and accurately detect small targets of different sizes and shapes in complex scenes. In this letter, we propose a method based on energy difference and structural difference measurement (EDASDM) for the fast detection of small IR targets. First, based on a center-edge distribution, we categorize the target into central and edge regions to perform the novel three-layer window measurement (NTWM) and extract target candidate pixels. Subsequently, target and background clutter are further distinguished by their energy difference (ED) and structural difference (SD). Second, the small IR targets of different sizes and shapes are extracted using adaptive threshold segmentation. The experimental results showed that our algorithm achieves superior detection and real-time performance to some state-of-the-art algorithms.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)