Landsat-8 Sensor and Sentinel-2 Sensor Data Fusion With Multiscale Detailed Information

With the increasing demand for high temporal and spatial resolution multispectral data sequences, many studies have been carried out on fusion on Landsat-8 and Sentinel-2 sensor data. However, current fusion methods suffer from the loss of detailed spatial and spectral information. To address this problem, a Landsat-8 and Sentinel-2 data fusion with multiscale detailed information (MSDI) method is proposed. MSDI combines well the initial spatial prediction obtained from the Landsat-8 data at the target date and the detailed part extracted from the Sentinel-2 data at the reference date. Thin plate spline interpolation is implemented on the Landsat-8 data for upsampling. Smoothing-sharpening filter (SSIF) is employed to separate the high- and low-frequency components of data from the two sensors. The multiscale SSIF is then utilized to migrate the details from the Sentinel-2 data to the upsampled Landsat-8 data. Experiments at two sites confirm that the proposed MSDI method could efficiently generate Sentinel-2-like data with high spatial and spectral resolution.