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.