An integrated deep learning framework of U-Net and inception module for cloud detection of remote sensing images
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/s12517-021-08259-w.pdf
Reference52 articles.
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3. Abdollahi A, Pradhan B, Alamri AM (2020b) An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images. Geocarto Int:448–456. https://doi.org/10.1080/10106049.2020.1856199
4. Abdollahi A, Pradhan B, Gite S, Alamri A (2020c) Building footprint extraction from high resolution aerial images using generative adversarial network (GAN) architecture. IEEE Access 8:209517–209527. https://doi.org/10.1109/ACCESS.2020.3038225
5. Abolfazl PB, Shukla N et al (2020) Deep learning approaches applied to remote sensing datasets for road extraction: a state-of-the-art review. Remote Sens 12:1444
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