A Robust Directional Saliency-Based Method for Infrared Small-Target Detection Under Various Complex Backgrounds
A Robust Directional Saliency-Based Method for Infrared Small-Target Detection Under Various Complex Backgrounds
复制标题
各种复杂背景下基于鲁棒方向显着性的红外小目标检测方法
DOI：
10.1109/lgrs.2012.2211094
复制
发表时间：
2013-05-01
影响因子：
4.8
通讯作者：
Tian, Jinwen
中科院分区：
文献类型：
--
作者：
Qi, Shengxiang;Ma, Jie;Tian, Jinwen
红外小目标检测在红外遥感图像处理中占有重要地位。在这封信中，不同于传统的算法，我们制定了这个问题的显着区域检测，这是受到启发的事实，一个小目标往往可以吸引人眼在红外图像的注意。这种视觉效果是由于小目标在远距离处由于热成像系统的光学点扩散函数而类似于各向同性高斯形状，而背景杂波通常是局部取向的差异而产生的。在此基础上，结合视觉注意理论，提出了一种鲁棒的基于方向显著性的红外小目标检测方法。实验结果表明，该算法在处理各种典型复杂背景的真实的红外图像时，效果优于现有方法。
Infrared small-target detection plays an important role in image processing for infrared remote sensing. In this letter, different from traditional algorithms, we formulate this problem as salient region detection, which is inspired by the fact that a small target can often attract attention of human eyes in infrared images. This visual effect arises from the discrepancy that a small target resembles isotropic Gaussian-like shape due to the optics point spread function of the thermal imaging system at a long distance, whereas background clutters are generally local orientational. Based on this observation, a new robust directional saliency-based method is proposed incorporating with visual attention theory for infrared small-target detection. Experimental results demonstrate that the proposed algorithm outperforms the state-of-the-art methods for real infrared images with various typical complex backgrounds.