Performance Analysis of Various EfficientNet-Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images-Reference-Cited by-同舟云学术

Performance Analysis of Various EfficientNet-Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images

Published:2024 Issue: Volume: Page:385-399
ISSN:2190-3018
Container-title:Smart Innovation, Systems and Technologies
language:en
Short-container-title:

Author:

Ovi Tareque Bashar^ORCID,Bashree Nomaiya^ORCID,Mukherjee Protik^ORCID,Mosharrof Shakil^ORCID,Parthima Masuma Anjum^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-7711-6_31

Reference12 articles.

1. Abdollahi, A., Pradhan, B.: Integrating semantic edges and segmentation information for building extraction from aerial images using Unet. Mach. Learn. Appl. 6, 100194 (2021)

2. Xu, L., Liu, Y., Yang, P., Chen, H., Zhang, H., Wang, D., Zhang, X.: Ha u-net: improved model for building extraction from high resolution remote sensing imagery. IEEE Access 9, 101 972–101 984 (2021)

3. Alsabhan, W., Alotaiby, T.: Automatic building extraction on satellite images using unet and resnet50. Comput. Intell. Neurosci., 2022 (2022)

4. Li, C., Fu, L., Zhu, Q., Zhu, J., Fang, Z., Xie, Y., Guo, Y., Gong, Y.: Attention enhanced u-net for building extraction from farmland based on google and worldview-2 remote sensing images. Remote Sens. 13(21), 4411 (2021)

5. Delibasoglu, I., Cetin, M.: Improved u-nets with inception blocks for building detection. J. Appl. Remote Sens. 14(4), 044 512–044 512 (2020)

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