CAJ | 학술논문

针对云层背景下红外变分辨率小目标的成像特性，提出一种基于尺度空间理论的红外弱小目标检测方法。首先建立高斯小目标参数模型，以高斯核生成待检测图像的尺度空间，进而对尺度空间进行最佳尺度匹配，提取目标感兴趣区域(ROI)。然后构造ROI尺度自适应对比度作为检测判据，剔除虚警，实现小目标最终检测。实验结果显示，算法不仅能够准确检测目标，且可以估计目标像尺寸，同时具有较高的检测概率和执行效率。可有效地实现对变分辨率弱小目标的检测。
침대운층배경하홍외변분변솔소목표적성상특성，제출일충기우척도공간이론적홍외약소목표검측방법。수선건립고사소목표삼수모형，이고사핵생성대검측도상적척도공간，진이대척도공간진행최가척도필배，제취목표감흥취구역(ROI)。연후구조ROI척도자괄응대비도작위검측판거，척제허경，실현소목표최종검측。실험결과현시，산법불부능구준학검측목표，차가이고계목표상척촌，동시구유교고적검측개솔화집행효솔。가유효지실현대변분변솔약소목표적검측。
According to the imaging characteristics of infrared variable resolution dim target in cloudy background, a method for small target detection based on scale space theory was proposed in this paper. Firstly, a Gaussian parameter model was established for small target, and then the scale space of the detected image was generated by using Gaussian kernel. Next, with optimal scale matching for scale space, the target region of interest (ROI) was extracted. Finally, the scale adaptive contrast (SAC) of ROI was calculated as detection criterion to remove the false alarms, achieving small target detection. The results of experiments show that the method proposed in this paper can not only accurately detect the target, but also estimate the size of target, and has high detection rate and efficiency.