A5075294170- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Video Surveillance and Tracking Methods
- Environmental Changes in China
- Advanced Neural Network Applications
Wuhan University
2022-2024
ORCID
2022
Local climate zone (LCZ) mapping can explore the variability of impact urban form on thermal environment in different contexts, and large-scale LCZ help us to better understand spatial temporal dynamics areas around world. Studies have indicated that deep learning-based methods effectively perform classification. However, accuracy classification datasets is still unsatisfactory, mainly due fact traditional convolutional neural networks are not good at mining contextual information, which...
Solid waste is a widespread problem that having negative effect on the global environment. Owing to ability of macroscopic observation, it reasonable believe remote sensing could be an effective way realize detection and monitoring solid waste. usually mixture various materials, with randomly scattered distribution, which brings great difficulty precise detection. In this article, we propose deep learning network for in urban areas, aiming fast automatic extraction from complicated...