Remote sensing data imputation using deep learning for multispectral imagery 事件

Remote sensing data imputation using deep learning for multispectral imagery arXiv:2605.24003v1 Announce Type: new Abstract: Remote sensing techniques have been increasingly utilised in aquatic applications in recent years. A common challenge in using optical satellite data is the presence of missing observations due to cloud cover. These data gaps can lead to missed detection of critical events, such as algal blooms, in lakes of high interest to water authorities. As a result, enhancing the co