413 citations · 756 across the 8 of their papers we have counts for
4 papers · 1 filter
Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network
Shaocong Zhu, Zhiwei Li, Xinghua Li +1
Clouds significantly affect the quality of optical satellite images, which seriously limits their precise application. Recently, deep learning has been widely applied to cloud dete…
An attention mechanism based convolutional network for satellite precipitation downscaling over China
Yinghong Jing, Liupeng Lin, Xinghua Li +2
Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate change. The Integrated Multi-satellitE Retrievals for the Global Precipitation Measu…
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network
Qiang Zhang, Qiangqiang Yuan, Chao Zeng +2
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information…
Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"
Chengyue Zhang, Zhiwei Li, Qing Cheng +2
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective…