计算机工程与应用2024，Vol.60Issue(15)：55-65,11.DOI:10.3778/j.issn.1002-8331.2402-0190
遥感图像去噪方法研究综述
Review of Image Denoising Methods for Remote Sensing
王浩宇 1杨海涛 2王晋宇 1周玺璇 1张宏钢 1徐一帆1
作者信息
- 1. 航天工程大学 研究生院,北京 101416
- 2. 航天工程大学 电子与光学工程系,北京 101416
- 折叠
摘要
Abstract
The complexity of the imaging environment results in remote sensing images containing many types of noise,and the removal of these noises can effectively improve the efficiency and accuracy of the subsequent work.In recent years,image denoising methods for remote sensing have gradually become a hotspot in the field of image processing.On the basis of absorbing the research of many scholars at home and abroad,the denoising methods for visible remote sens-ing images,infrared remote sensing images and SAR images are systematically summarized.Firstly,the main sources and manifestations of noise in remote sensing images are introduced.Secondly,public datasets and data platforms that can be used for the study of remote sensing image denoising methods are listed.The advantages and limitations of traditional remote sensing image denoising methods are described according to the processing domain.Then,the cutting-edge image denoising method for remote sensing based on deep learning is highlighted,and its main innovations and shortcomings are summarized.Finally,the challenges and future development directions of remote sensing image denoising task are ana-lyzed and prospected.关键词
遥感图像/图像去噪/数据集/深度学习Key words
remote sensing image/image denoising/datasets/deep learning分类
信息技术与安全科学引用本文复制引用
王浩宇,杨海涛,王晋宇,周玺璇,张宏钢,徐一帆..遥感图像去噪方法研究综述[J].计算机工程与应用,2024,60(15):55-65,11.
