%0 Journal Article
%4 sid.inpe.br/mtc-m21d/2022/10.24.15.57
%2 sid.inpe.br/mtc-m21d/2022/10.24.15.57.25
%@doi 10.1016/j.rsase.2022.100844
%@issn 2352-9385
%T Geometric accuracy assessment and a framework for automatic sub-pixel registration of WFI images from CBERS-4, CBERS-4A, and Amazonia-1 satellites over Brazil
%D 2022
%8 Nov.
%9 journal article
%A Oldoni, Lucas Volochen,
%A Sanches, Ieda Del'Arco,
%A Picoli, Michelle Cristina Araújo,
%A Prudente, Victor Hugo Rohden,
%A Adami, Marcos,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Université Catholique de Louvain
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress lucas.oldoni@inpe.br
%@electronicmailaddress ieda.sanches@inpe.br
%@electronicmailaddress mipicoli@gmail.com
%@electronicmailaddress victor.rohden@yahoo.com
%@electronicmailaddress marcos.adami@inpe.br
%B Remote Sensing Applications: Society and Environment
%V 28
%P e100844
%K Brazilian earth observation satellites, Multi-sensor approach, Satellite images time series, Wide-field imager.
%X Brazil faces the challenge of conciliating food production with natural vegetation preservation, and the government has been investing in Earth Observation satellites to assist in this task. In this context, images from the Wide-Field Imager (WFI) sensor onboard the China-Brazil Earth Resources Satellite (CBERS-4), CBERS-4A, and Amazonia-1 have been used in remote sensing applications in Brazil. However, the geometric accuracy of the WFI data has not yet been documented in the literature, as it was done for other satellites/sensors such as TERRA/MODIS, Landsat-8/OLI, and Sentinel-2/MSI. This work presents the first study to assess the geometric accuracy of WFI images along different spectral channels, from multi-temporal images, and taking Sentinel-2/MSI images as a reference. Surface reflectance WFI images, Level-4 (orthorectified) with spatial resolution of 55 m (CBERS-4A) and 64 m (CBERS-4 and Amazonia-1) were analysed. Thousands of control points (CPs) were used to quantify the geometric accuracy of more than 300 WFI images and to construct multiple mapping functions to correct the displacements found. The NIR band was taken as a reference in the inter-channel (band-to-band) registration evaluation. In this case, all tiles had an RMSE average of fewer than 0.44 pixels. For the multi-temporal case, the CBERS-4A/WFI had the highest average RMSE (0.87 ± 0.34 pixels). Considering the Sentinel-2/MSI as a reference, there were observed shifts up to 1.45 pixels for CBERS-4/WFI and Amazonia-1/WFI and 2.5 pixels for CBERS-4A/WFI. Given the displacements found, image registration is needed for further time series analysis of WFI images for several applications that requiring precise sub-pixel registration (i.e., land use cover change). As a result, we propose a framework for the automatic registration of WFI images to properly foster the use of WFI images. This framework substantially reduced the misregistrations, decreasing the RMSE average to less than 0.29 pixels for the WFI images from the three satellites. The use of the 2nd degree polynomial as a mapping function proved to be appropriate for registering the WFI data.
%@language en
%3 1-s2.0-S2352938522001525-main.pdf