Time series interpolation

被引：7

作者：

de Carvalho, Osmar Abilio, Jr. ^{[1
]}

Guimaraes, Renato Fontes ^{[1
]}

Trancoso Gomes, Roberto Arnaldo ^{[1
]}

da Silva, Nilton Correia ^{[2
]}

机构：

[1] UnB Univ Brasilia, Campus Univ Darcy Ribeiro, BR-70910900 Asa Norte Brasilia, DF, Brazil

[2] Ctr Univ Anapolis Unievangelica, Anapolis, Goias, Brazil

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

关键词：

NDVI temporal signature; MODIS; digital image processing; cubic spline interpolation;

D O I：

10.1109/IGARSS.2007.4423211

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A consistent data acquisition interval among multitemporal images is necessary to accurate landscape change detection and temporal-series signatures. Orbital images are difficult to maintain a temporal precision due to the different interferences that generate missing data. The correct handling of missing data is a difficult problem in data analysis and often depends on your specific situation. This missing information can be replaced using an interpolation method. In this paper is proposed a new algorithm that interpolates multitemporal images. This new computation method uses the cubic-spline interpolation technique to trace the reflectance and NDVI behaviors along time. The performance of the cubic-spline interpolation technique in the determination of NDVI temporal series is verified in terms of accuracy.

引用

页码：1959 / 1961

页数：3

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