红外技术2017，Vol.39Issue(11)：1054-1059,6.
一种新颖的强海杂波背景下弱小目标鲁棒检测算法
A Novel Infrared Small-dim Object Detection under Complex Sea-clutter Background
摘要
Abstract
Infrared small-dim object detection under a complex background is one of the key technologies in the photoelectric fire-control system and infrared seeker. As for the problem of low-SNR target detection in a complex sea-clutter background, combining the SURF feature descriptor, a small-dim object detection algorithm based on automatic clustering segmentation is proposed. Firstly, the SURF algorithm is used to calculate the points of interest in the infrared image, and these points are projected ontoa frame to form a cumulative image. The object points are aggregated in the cumulative imagedue to the motion continuity of the object in the infrared frames. Then the improved fast-clustering algorithm is adopted to detect the suspect target adaptively. Finally, according to the prior information onthe size constraint and linear constraint of the object cluster, the small-dim object is distinguished from the sea-clutter. A large number of simulation experiments and fly-by-flight verification show that compared with other existing algorithms, theproposed algorithm can obtain better detection performance when dealing with small-dim objects with low SNR, and it can detect the optimal detection target in the polynomial time complexity, which is suitable for engineering applications.关键词
红外弱小目标/海杂波/SURF特征描/累积图/聚类分割算法/目标检测Key words
infrared small-dim object/sea-clutter/SURF feature description/cumulative image/clustering algorithm/object detection分类
信息技术与安全科学引用本文复制引用
袁耀东,许红艳,陶琳..一种新颖的强海杂波背景下弱小目标鲁棒检测算法[J].红外技术,2017,39(11):1054-1059,6.基金项目
国家自然科学基金项目(61379079) （61379079）
河南省国际科技合作基金项目(144300510007) （144300510007）
河南省高等学校重点科研项目计划(15B520008). （15B520008）
