Name
Title | ||
|---|---|---|
CT-UNet: An Improved Neural Network Based on U-Net for Building Segmentation in Remote Sensing Images |
Abstract | ||
|---|---|---|
With the proliferation of remote sensing images, how to segment buildings more accurately in remote sensing images is a critical challenge. First, the high resolution leads to blurred boundaries in the extracted building maps. Second, the similarity between buildings and background results in intra-class inconsistency. To address these two problems, we propose an UNet-based network named Context-T... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICPR48806.2021.9412355 | 2020 25th International Conference on Pattern Recognition (ICPR) |
Keywords | DocType | ISSN |
Training,Image segmentation,Image resolution,Buildings,Transfer learning,Neural networks,Feature extraction | Conference | 1051-4651 |
ISBN | Citations | PageRank |
978-1-7281-8808-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huanran Ye | 1 | 0 | 0.34 |
| Sheng Liu | 2 | 5 | 8.58 |
| Kun Jin | 3 | 0 | 0.34 |
| Haohao Cheng | 4 | 0 | 0.34 |