CAJ | 학술논문

提出了一种基于多特征距离图的红外弱小目标检测方法.弱小目标的许多特征,如局部熵、平均梯度强度等,不但刻画了弱小目标的特点而且易于提取.通过特征融合技术,可以将弱小目标检测问题转化成在一个多特征空间的极值求取问题.该方法利用已经提取的多个特征,采用特征融合技术构造一个距离图像,再对该图像进行二值化处理,达到目标检测的目的.通过对实际的红外图像序列进行小目标检测,验证了所提方法的可行性和有效性.
제출료일충기우다특정거리도적홍외약소목표검측방법.약소목표적허다특정,여국부적、평균제도강도등,불단각화료약소목표적특점이차역우제취.통과특정융합기술,가이장약소목표검측문제전화성재일개다특정공간적겁치구취문제.해방법이용이경제취적다개특정,채용특정융합기술구조일개거리도상,재대해도상진행이치화처리,체도목표검측적목적.통과대실제적홍외도상서렬진행소목표검측,험증료소제방법적가행성화유효성.
A novel method for small weak target detection based on multi -feature distance map (MFDM) in image sequences is proposed. Small weak targets have many features like local entropy, average gradient strength etc.These features not only describe the characteristics of small infrared targets, but also are easy to be extracted.Multi-feature-based fusion techniques are applied to detect weak targets by converting the problem of detecting small targets to the search for peak values in specified feature space where multi-feature vectors space (MFVS) is considered. Target detection is performed in DM which can be derived according to feature vectors. The targets are detected in complex backgrounds via binarizing a DM image constructed by multi-feature fusion.The proposed approach is validated using actual infrared image sequences with sea-sky backgrounds.Experimental results demonstrate the robustness and high performance of the proposed method.