Evaluating the potential of pyramid-based fusion coupled with convolutional neural network for satellite image classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-09677-0.pdf
Reference91 articles.
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3. Abdollahi A, Pradhan B, Sharma G et al (2021b) Improving Road Semantic Segmentation Using Generative Adversarial Network. IEEE Access 9:64381–64392. https://doi.org/10.1109/ACCESS.2021.3075951
4. Abdollahi A, Pradhan B, Alamri AM (2020) An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images. Geocarto Int 1–16 https://doi.org/10.1080/10106049.2020.1856199
5. Abdollahi A, Pradhan B, Alamri A (2021a) RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up. GIScience & Remote Sensing 1–24. https://doi.org/10.1080/15481603.2021.1972713
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