CAJ | 학술논문

利用小目标的出现会导致局部反熵值发生较大变化这一特性,提出了基于改进的局部反熵算子和改进的区域生长技术的小目标检测新方法.该方法首先利用改进的局部反熵算子构建局部反熵图抑制小目标图像背景,然后采用改进的区域生长技术有效地检测小目标.仿真实验结果表明,所提出的方法能快速和准确地检测出复杂背景下的小目标.
이용소목표적출현회도치국부반적치발생교대변화저일특성,제출료기우개진적국부반적산자화개진적구역생장기술적소목표검측신방법.해방법수선이용개진적국부반적산자구건국부반적도억제소목표도상배경,연후채용개진적구역생장기술유효지검측소목표.방진실험결과표명,소제출적방법능쾌속화준학지검측출복잡배경하적소목표.
A small-target detection approach was proposed, which is based on the modified local reverse entropy operator and the improved region growing technology. The approach adopted the fact that the emergence of small target could lead to the large change of local reverse entropy. The proposed approach made use of the local reverse entropy map to suppress the small-target image background, and then adopted the improved region growing technique to effectively detect small targets. Experimental results show that the proposed approach can detect small targets accurately and quick-ly.