多源卫星遥感影像时空融合研究的现状及展望

发布时间：2018-03-17 10:15

本文选题：多源遥感影像　切入点：时空分辨率折中　出处：《测绘学报》2017年10期 　论文类型：期刊论文

【摘要】：高空间分辨率的地表或者大气环境动态监测需要高时间-空间分辨率的卫星遥感影像作为数据支撑,但由于卫星传感器硬件技术及卫星发射成本等客观因素的限制,使得获取高时空分辨率遥感影像的较为便捷高效、低成本的可行手段就是将分别具有高时间和高空间分辨率的多源遥感影像进行时空融合,从而生成不同研究和应用所需的高时空分辨率卫星影像。现阶段,虽然国内外的学者进行了大量的时空融合算法研究,但是这些研究都局限于特定的数据类型、算法原理、应用目的等客观限制,而且其发展呈现出多样性。本文对现有主流的时空融合算法研究进行了归纳总结,将其分为4种:(1)基于地物组分的时空融合;(2)基于地表空间信息的时空融合;(3)基于地物时相变化的时空融合;(4)组合性的时空融合。同时,本文还对时空融合算法中存在的问题和面临的挑战进行了分析,并对其未来的发展方向进行了前瞻性的展望。
[Abstract]:The dynamic monitoring of surface or atmospheric environment with high spatial resolution needs satellite remote sensing images with high temporal and spatial resolution as data support. However, due to the limitation of satellite sensor hardware technology and satellite launch cost and other objective factors, It is convenient and efficient to obtain high spatial and temporal resolution remote sensing images. The feasible method of low cost is to combine the high time and high spatial resolution multisource remote sensing images. So as to generate the high spatial and temporal resolution satellite images needed for different research and applications. At present, although scholars at home and abroad have done a lot of research on spatio-temporal fusion algorithms, these studies are limited to specific data types and principles of algorithms. Objective limitations such as purpose are applied, and its development presents diversity. In this paper, the existing mainstream space-time fusion algorithms are summarized and summarized. It can be divided into 4 kinds: 1) spatio-temporal fusion based on ground composition (2) spatio-temporal fusion based on surface spatial information and (3) spatio-temporal fusion based on temporal variation of ground objects, and (4) combined spatio-temporal fusion. The problems and challenges in spatiotemporal fusion algorithm are also analyzed, and its future development is prospected.
【作者单位】：香港中文大学地理与资源管理学系;香港中文大学太空与地球信息科学研究所;香港中文大学深圳研究院;
【基金】：国家自然科学基金(41371417)~~
【分类号】：P237

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