基于大小场景整合的遥感小目标检测算法

针对目前遥感图像小目标检测算法遇到的复杂背 景建模困难、先验信息严重匮乏等问题,考虑 到昆虫视觉系统在图像处理方面的优势,提出基于蝇视觉系统大小场景(LF-SF)整合的信 息处理模式解决遥感 图像存在复杂背景的目标检测。蝇视觉的LF-SF整合机理无需考虑图像背景的复杂度以及目 标先 验信息,在抑制复杂背景纹理特征的同时对稀有目标特征进行增强,最后通过加权融合实现 目标检测。实验结果表明,本文算法在算法设计、处理速度以及检测精度均优于现有算法 。

Small target detection algorithm of remote sensing data based on LF-SF integration

Aiming at the present problems of small target detection algorithm for remote sensing data,such as hard to model background feature and lack of prior information seriously,con sidering the advantages of insect vision on image processing,this paper proposes a parallel processing model to s olve the problem of target detection of remote sensing under clutter background,which is inspired by the l arge field and small field (LF-SF) integration theory in fly vision system.Without background model an d prior information,the theory of LF-SF integration can reduce the influence of background feature,enhance the s eldom target feature at the same time,and at last it uses weighted fusion to complete target detection.Experim ent results show that the proposed method is better than the present algorithms in computation quantity,spe ed and accuracy of detection result.