Aiming at the contradiction between the temporal resolution and spatial resolution of images acquired by remote sensing satellites,a remote sensing image spatiotemporal fusion method combining progressive super-resolution and attention mechanism is proposed.The method includes progressive super-resolution and feature fusion modules.The former achieves a 16-fold spatial resolution improvement between MODIS and Landsat images by multiple 2-fold upsampling,while the latter fuses super-resolution features of five different scales.Experiments with two different spatiotemporal fusion algorithms on the CIA dataset show that the proposed method has less spectral loss and higher detail reconstruction capabilities.
万方数据
维普
