1 citations · 2 across the 4 of their papers we have counts for
4 papers
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets
Zhiling Guo, Xiaodan Shi, Haoran Zhang +4
The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency. Despite their success in different task…
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling
Zhiling Guo, Yinqiang Zheng, Haoran Zhang +4
In recent years, single-frame image super-resolution (SR) has become more realistic by considering the zooming effect and using real-world short- and long-focus image pairs. In thi…
Semantic Segmentation for Urban Planning Maps based on U-Net
Zhiling Guo, Hiroaki Shengoku, Guangming Wu +6
The automatic digitizing of paper maps is a significant and challenging task for both academia and industry. As an important procedure of map digitizing, the semantic segmentation…
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline Extraction
Guangming Wu, Zhiling Guo
Recently, deep learning algorithms, especially fully convolutional network based methods, are becoming very popular in the field of remote sensing. However, these methods are imple…