.png){kind=icon}
返回
Infrared small target detection algorithm based on filter kernel combination optimization learning method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.infrared.2024.105346.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Infrared small target detection in complex backgrounds remains a big challenge due to its small size and weak energy, which makes it easy to be submerged in complex backgrounds. Common filtering algorithms are difficult to apply to various complex scenes and generate many false alarms and poor robustness. Therefore, this paper proposes an infrared small target detection algorithm based on filter kernel combination optimization learning method. For the sample image block use typical filter kernels and weight coefficients to calculate the combination of filtering results, and construct the loss function of the results and the true value. The optimal weight coefficients are learned using an optimization method, which effectively achieves the fusion of multiple features, then we build a sample library containing comprehensive priori information. In the implementation, an online inference method based on similarity measure is proposed to match test images with sample library image blocks to obtain optimal combination weights. By utilizing the comprehensive priori information to enhance the adaptive ability of the algorithm for various complex backgrounds. Finally, get the position of the infrared small target. The experimental results show that our algorithm has excellent detection performance for infrared small targets with complex background and low signal to clutter ratio, and the AUC value is 0.9980, which is more robust than other comparative algorithms.
Keyword:
Infrared small target detection
Combined filter
Optimizing learning
Similarity measure
期刊
I
IF:
3.4
论文数:
5.8K
被引数:
1.2W
机构
引用论文
.png){kind=icon}
Water affinity guided tunable superhydrophobicity and optimized wettability of selected natural minerals水亲和性引导的可调超疏水性和优化润湿性，适用于选定的天然矿物
OAAI
OAAI分享收藏Effective Infrared Small Target Detection Utilizing a Novel Local Contrast Method利用新颖的局部对比度方法进行有效的红外小目标检测
PREAI
分享收藏Derivative Entropy-Based Contrast Measure for Infrared Small-Target Detection基于导数熵的红外小目标检测对比度度量
PREAI
分享收藏Tailored Molecular Precursors of Yttrium Oxide Using Functional Alcohols and Acetylacetone as Modifiers利用功能醇和乙酰丙酮作为修饰剂制备的氧化钇定制分子前驱体
PREAI
分享收藏
查看更多内容