Research and analysis on MODIS remote sensing multi-image fusion

doi:10.3778/j.issn.1002-8331.2009.13.068

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (13): 231-233.DOI: 10.3778/j.issn.1002-8331.2009.13.068

• 工程与应用 • Previous Articles Next Articles

Research and analysis on MODIS remote sensing multi-image fusion

WANG Jing¹,LI Ya-chun²

1.Nanjing University of Information Science and Technology，Nanjing 210044，China
2.Meteorological Institute of Jiangsu Province，Nanjing 210008，China

Received:2008-03-10 Revised:2008-05-26 Online:2009-05-01 Published:2009-05-01
Contact: WANG Jing

多时相MODIS数据融合效果的分析与评价

王净¹,李亚春²

1.南京信息工程大学应用气象学院，南京 210044
2.江苏省气象局气象科学研究所，南京 210008

通讯作者: 王净

Abstract

Abstract: MODIS is one of the most important sensors in American EOS projects.It aims at observing and investigating the atmosphere and earth climate changes for a long time.So it is necessary and important to explore the MODIS data information. In this paper，many kinds of improved methods，such as IHS，IHS_FFT and IHS_WT，are applied to MODIS multi-time image fusion.Also lots of subjective or impersonal evaluating indicators about light，spatial details and spectral information come to be used for evaluating the fusion images.IHS_WT method is also much better，especially using the biorthogonal wavelets bases（bior6.8），and IHS and IHS_FFT methods have spectral distortion phenomena.

Key words: moderate-resolution imaging spectroradiometer（MODIS）, image fusion, Intensity-Hue-Saturation（IHS）, Intensity-Hue-Saturation_Fast Fourier Transform（IHS_FFT）, Intensity-Hue-Saturation_Wavelate Transform（IHS_WT）

摘要： MODIS是美国新一代地球观测卫星EOS计划中重要的传感器之一，其主要目标是实现对大气和地球环境变化的长期观测和研究，因此，充分挖掘并利用MODIS数据信息十分必要。采用IHS变换法、IHS_FFT法及IHS_WT法等多种方法对MODIS多时相数据进行融合比较，并从反映图像亮度、空间细节和光谱信息的三类统计参数给出客观评价分析结果。结果表明，IHS_WT方法的融合效果较优，特别是采用双正交小波基（bior6.8），而IHS和IHS_FFT法存在一定得光谱扭曲现象。

关键词: 中分辨率成像光谱仪, 图像融合, 散饱和变换法, 散饱和快速傅立叶变换法, 散饱和小波变换法

WANG Jing¹,LI Ya-chun². Research and analysis on MODIS remote sensing multi-image fusion[J]. Computer Engineering and Applications, 2009, 45(13): 231-233.

王净¹,李亚春². 多时相MODIS数据融合效果的分析与评价[J]. 计算机工程与应用, 2009, 45(13): 231-233.

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Research and analysis on MODIS remote sensing multi-image fusion

多时相MODIS数据融合效果的分析与评价

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