Improving spatiotemporal image fusion incorporating unmixing step by considering the point spread function effect

IF 3 3区 地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Peng Wang, Mingxuan Huang, Kang Ni, Wenjian Liu, Bo Huang, Mingzuan Xu
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引用次数: 0

Abstract

In this paper, an improving spatiotemporal image fusion (STIF) incorporating unmixing step by considering the point spread function (PSF) effect model (CPSF) is proposed to address the problem that...
考虑点扩散函数效应,改进包含非混合步骤的时空图像融合技术
本文通过考虑点扩散函数(PSF)效应模型(CPSF),提出了一种包含非混合步骤的改进型时空图像融合(STIF),以解决...
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来源期刊
International Journal of Remote Sensing
International Journal of Remote Sensing 工程技术-成像科学与照相技术
CiteScore
7.00
自引率
5.90%
发文量
219
审稿时长
4.8 months
期刊介绍: The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).
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