基于字典学习的弱小目标检测研究
毕业论文关键词 弱小目标检测 图像去噪 字典学习 稀疏编码
Title Research on small target detection using dictionary learning
Abstract Small target detection has an important position and role in the military field and the civilian field. However, due to the small target pixels, and the background is often accompanied by complex interference, most of detection methods now has been less efficient. Based on this background, this paper proposes a method of comprehensive detection of small and weak targets based on dictionary learning. The main contents of this paper are as follows: At the beginning, this paper investigates and analysis the background and current situation of the small target detection, lists the existing detection methods、some theoretical research and briefly introduces the basic knowledge of dictionary learning. A morphological background suppression method for small target images is proposed. The basic knowledge and mathematical formula of morphological filter are used to realize the initial denoising of the image’s background. Then by using the block classification of sparse coding model and the dictionary based on learning methods, through a large number of mathematical formula to calculate the dictionary block structure and sparse coding and dictionary learning algorithm is derived, based on that ,this paper reconstructs the required background. Two background fusion methods are proposed, and uses the gray level histogram to get the threshold. After that, this paper proposes a threshold adjusting method to screen the candidate target. This paper also constructs the data set required to validate the proposed method. Showing the results of the data after the test algorithm step by step and the final result of the final weak target. The performance of the algorithm is verified by the quantitative evaluation curve and the chart of the small target detection method based on dictionary learning. The experimental results show that the method is reasonable and effective.
Keywords Small target detection；Image denoising；Dictionary learning；Sparse coding
目次
1绪论1
1.1弱小目标检测方法研究背景及意义1
1.2弱小目标检测方法研究现状3
1.3字典学习有关概念5
1.4本文结构和创新点6
2基于字典学习的弱小目标检测综合方法7
上一篇：Android漏洞库的设计与实现
下一篇：云平台下科学工作流挖掘