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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, image super-resolution technology has become one of the hot spots in related fields. In view of the fact that not all super-resolution methods are available in the field of remote sensing, this paper classifies the super-resolution into four modules: degenerate model, registration, reconstruction and accuracy assessment according to the process of super-resolution remote sensing image processing. For each of the modules of the theory, methods and research progress made a more comprehensive overview and comparative analysis. Finally, think and look forward to the future development in this area.