Loading...
Please wait, while we are loading the content...
Similar Documents
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
| Content Provider | MDPI |
|---|---|
| Author | Chen, Ziyi Li, Dilong Fan, Wentao Guan, Haiyan Wang, Cheng Li, Jonathan |
| Copyright Year | 2021 |
| Description | Deep learning models have brought great breakthroughs in building extraction from high-resolution optical remote-sensing images. Among recent research, the self-attention module has called up a storm in many fields, including building extraction. However, most current deep learning models loading with the self-attention module still lose sight of the reconstruction bias’s effectiveness. Through tipping the balance between the abilities of encoding and decoding, i.e., making the decoding network be much more complex than the encoding network, the semantic segmentation ability will be reinforced. To remedy the research weakness in combing self-attention and reconstruction-bias modules for building extraction, this paper presents a U-Net architecture that combines self-attention and reconstruction-bias modules. In the encoding part, a self-attention module is added to learn the attention weights of the inputs. Through the self-attention module, the network will pay more attention to positions where there may be salient regions. In the decoding part, multiple large convolutional up-sampling operations are used for increasing the reconstruction ability. We test our model on two open available datasets: the WHU and Massachusetts Building datasets. We achieve IoU scores of 89.39% and 73.49% for the WHU and Massachusetts Building datasets, respectively. Compared with several recently famous semantic segmentation methods and representative building extraction methods, our method’s results are satisfactory. |
| Starting Page | 2524 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs13132524 |
| Journal | Remote Sensing |
| Issue Number | 13 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-06-28 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Imaging Science Building Extraction U-net Remote Sensing Image Building Footprint |
| Content Type | Text |
| Resource Type | Article |
