摘要
随着人们对影像高分辨率需求的不断增加,图像超分辨率技术已成为相关研究领域的热点之一。针对在遥感领域并非所有的超分辨率方法都可用的现状,该文按照遥感影像超分辨率处理的流程,将超分辨率问题分为退化模型、配准、重建和精度评定4大模块。对于其中每一模块的理论、常用方法与研究进展进行了较全面的综述及比较分析。最后对这一领域的未来发展进行思考和展望。
With the increasing demand for high-resolution images,the image super-resolution technology has become a hot research field.Not all super-resolution methods are available for the field of remote sensing;therefore this paper categorized the super resolution problem into four modules：degradation model,registration,reconstruction and precision evaluation according to the implementation process of super resolution in remote sensing images.The theoretical,common methods and research progress of each module were roundly reviewed and comparatively analyzed.Finally,the thinking and vision for the future development of this area were discussed.
出处
《测绘科学》
CSCD
北大核心
2016年第12期53-58,69,共7页
Science of Surveying and Mapping
关键词
遥感
超分辨率重建
图像处理
方法综述
remote sensing
super resolution reconstruction
image processing
survey
