Research Findings from Chongqing University of Posts and Telecommunications Update Understanding of Earth Observations and Remote Sensing (A Pseudo-Siamese Deep Convolutional Neural Network for Spatiotemporal Satellite Image Fusion)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on earth observations and remote sensing have been presented. According to news originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Due to technology and cost limitations, it is challenging to obtain high temporal and spatial resolution images from a single satellite spectrometer, which significantly limits the specific application of such remote sensing images in earth science. To solve the problem that the existing algorithms cannot effectively balance the spatial detail preservation and spectral change reconstruction, a pseudo-Siamese deep convolutional neural network (PDCNN) for spatiotemporal fusion is proposed in this article.”