Skakun Sergii, Roger Jean-Claude, Vermote Eric F, Masek Jeffrey G, Justice Christopher O
Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
NASA Goddard Space Flight Center Code 619, Greenbelt, MD, USA.
Int J Digit Earth. 2017 Mar 23;Volume 10(Iss 12):1253-1269. doi: 10.1080/17538947.2017.1304586.
This study investigates misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution, and between multi-temporal Sentinel-2A images at 10 m resolution using a phase correlation approach and multiple transformation functions. Co-registration of 45 Landsat-8 to Sentinel-2A pairs and 37 Sentinel-2A to Sentinel-2A pairs were analyzed. 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, and 1.2 pixels and 2.8 pixels at 10 m resolution between multi-temporal Sentinel-2A images from the same and different orbits, respectively, were observed. The non-linear Random Forest regression used for constructing the mapping function showed best results in terms of root mean square error (RMSE), yielding an average RMSE error of 0.07±0.02 pixels at 30 m resolution, and 0.09±0.05 and 0.15±0.06 pixels at 10 m resolution for the same and adjacent Sentinel-2A orbits, respectively, for multiple tiles and multiple conditions. A simpler 1 order polynomial function (affine transformation) yielded RMSE of 0.08±0.02 pixels at 30 m resolution and 0.12±0.06 (same Sentinel-2A orbits) and 0.20±0.09 (adjacent orbits) pixels at 10 m resolution.
本研究使用相位相关方法和多种变换函数，调查了30米分辨率下陆地卫星8号/OLI与哨兵2A号/MSI之间以及10米分辨率下多期哨兵2A号图像之间的配准误差问题。分析了45对陆地卫星8号与哨兵2A号以及37对哨兵2A号与哨兵2A号的图像配准情况。相位相关被证明是一种强大的方法，使我们能够在间隔超过100天获取的图像上识别出成百上千个控制点。总体而言，观察到陆地卫星8号与哨兵2A号图像在30米分辨率下的配准误差高达1.6像素，同一轨道和不同轨道的多期哨兵2A号图像在10米分辨率下的配准误差分别为1.2像素和2.8像素。用于构建映射函数的非线性随机森林回归在均方根误差（RMSE）方面显示出最佳结果，在30米分辨率下平均RMSE误差为0.07±0.02像素，在10米分辨率下，对于同一和相邻的哨兵2A号轨道，多个图块和多种条件下的平均RMSE误差分别为0.09±0.05像素和0.15±0.06像素。一个更简单的一阶多项式函数（仿射变换）在30米分辨率下的RMSE为0.08±0.02像素，在10米分辨率下，同一哨兵2A号轨道的RMSE为0.12±0.06像素，相邻轨道的RMSE为0.20±0.09像素。
