AUTOMATIC CO-REGISTRATION OF MULTI-TEMPORAL LANDSAT-8/OLI AND SENTINEL-2A/MSI IMAGES

被引：0

作者：

Skakun, S. ^{[1
,2
]}

Roger, J. -C. ^{[1
,2
]}

Vermote, E. ^{[2
]}

Justice, C. ^{[1
]}

Masek, J. ^{[3
]}

机构：

[1] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[2] NASA, Goddard Space Flight Ctr, Code 619,8800 Greenbelt Rd, Greenbelt, MD 20771 USA

[3] NASA, Goddard Space Flight Ctr, Code 618,8800 Greenbelt Rd, Greenbelt, MD 20771 USA

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

Misregistration; phase correlation; random forest; Landsat-8; Sentinel-2A;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This study aims at addressing misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution using a phase correlation approach and multiple transformation functions. Phase correlation proved to be a robust approach that allowed us to identify hundreds and thousands of control points on images acquired more than 100 days apart. Overall, misregistration of up to 1.6 pixels at 30 m resolution between Landsat-8 and Sentinel-2A images were observed. The Random Forest regression used for constructing the mapping function showed best results, yielding an average RMSE error of 0.07 pixels at 30 m resolution for multiple tiles and multiple conditions.

引用

页码：5272 / 5274

页数：3

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