多波段遥感影像锐化方法研究进展  

Multi-Band Remote Sensing Image Sharpening:A Survey

作　　者：陶兢喆[1,3] 宋德瑞 宋传鸣 王相海[1,2] TAO Jing-zhe;SONG De-rui;SONG Chuan-ming;WANG Xiang-hai(School of Geography,Liaoning Normal University,Dalian 116029,China;School of Computer and Information Technology,Liaoning Normal University,Dalian 116081,China;National Marine Environmental Monitoring Center,Dalian 116023,China)

机构地区：[1]辽宁师范大学地理科学学院,辽宁大连116029 [2]辽宁师范大学计算机与信息技术学院,辽宁大连116081 [3]国家海洋环境监测中心,辽宁大连116023

出　　处：《光谱学与光谱分析》2023年第10期2999-3008,共10页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(41971388);辽宁省高等学校教育厅创新团队支持计划项目(LT2017013)资助。

摘　　要：受成像机理的限制,目前的遥感硬件技术条件尚无法获取同时具备高空间、高光谱分辨率的多波段遥感影像。多波段遥感影像作为一种反映各个不同窄波段区间信息的三维影像集合,其包含二维空间信息和一维光谱信息,空间信息反映场景中的几何特性,而光谱信息则对应地物在不同波段的电磁波特性。为弥补多波段遥感影像空间信息采集的不足,利用辅助影像增强其空间分辨率,即多波段遥感影像的锐化受到重视。多波段遥感影像锐化不仅可提升影像的视觉效果,同时可为诸如地物分类、变化检测和参数反演等后继的定性、定量化遥感应用奠定基础,因而一直是遥感影像处理领域非常重要且持续活跃的研究方向。为此,对多波段遥感影像锐化方法的研究进展进行综述:一是对多波段遥感影像锐化的内涵进行了表述;二是以多光谱(MS)影像的全色锐化为视角、以算法实现的技术为脉络,分别从基于成分替代(CS)、基于多分辨率分析(MRA)、基于最优化模型(OM)和基于深度学习(DL)四个方面对多光谱遥感影像锐化方法的研究进展和存在的问题进行分析和讨论;三是结合高光谱(HS)影像所存在的不同于MS的自身特性,对HS影像的锐化特点进行了分析,并对不同于MS的一些特有HS锐化方法进行了讨论和归纳;最后对多波段遥感影像锐化方法未来的发展进行了展望,分别从目前CS和MRA方法更受到主流认可的原因,以及未来多波段遥感影像锐化领域将呈现出多种方法的相关融合两个方面进行了讨论。Due to the limitations of imaging mechanisms,the current technical conditions of remote sensing hardware are not yet able to acquire multi-band remote sensing images with high spatial and high spectral resolution simultaneously.Multi-band remote sensing image is a three-dimensional image collection that reflects the information of different narrow-band intervals.It contains two-dimensional spatial information and one-dimensional spectral information.The spatial information reflects the geometric characteristics of the scene,and the spectral information corresponds to the electromagnetic wave characteristics of the ground objects in different bands.To compensate for the deficiency of spatial information acquisition in multi-band remote sensing images,sharpening of the images,which enhances their spatial resolution by using auxiliary images,has been emphasized.The sharpening of multi-band remote sensing images can not only improve the visual effect of the images,but also lay the foundation for subsequent qualitative and quantitative remote sensing applications such as ground object classification,change detection and parameter inversion,and thus has been a very significant and continuously active research direction in the field of remote sensing image processing.This paper reviews the research progress of multi-band remote sensing image sharpening methods.Firstly,the connotation of multi-band remote sensing image sharpening is expressed.Secondly,from the perspective of panchromatic sharpening of multispectral(MS)images and in the context of algorithm implementation techniques,the research progress and problems of MS image sharpening methods based on Component Substitution(CS),Multi-resolution Analysis(MRA),Optimization Model(OM)and Deep Learning(DL)are investigated and discussed respectively.Thirdly,the sharpening characteristics of HS images are analyzed in light of the characteristics of Hyperspectral(HS)images that are different from those of MS,and some specific HS sharpening methods that are different from tho

关 键 词：多波段遥感影像 锐化 多光谱 高光谱 分辨率 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]