319 citations · 792 across the 5 of their papers we have counts for
5 papers
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 Urban Water Extraction Method Combining Deep Learning and Google Earth Engine
Yudie Wang, Zhiwei Li, Chao Zeng +2
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban water with remote sensing data is of great significance for urban management and plannin…
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
Zhiwei Li, Huanfeng Shen, Qing Cheng +3
Cloud detection is an important preprocessing step for the precise application of optical satellite imagery. In this paper, we propose a deep learning based cloud detection method…
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…
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
Zhiwei Li, Huanfeng Shen, Huifang Li +3
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1 (GF-1) optical satellite has a 16-m resolution and four-day revisit cycle for large-scale Earth observation…