Building footprint extraction using orthophotos based on Artificial Neural Network and fusion of dense point cloud with Digital Topographic Map — Istanbul, Turkey-Reference-Cited by-同舟云学术

Building footprint extraction using orthophotos based on Artificial Neural Network and fusion of dense point cloud with Digital Topographic Map — Istanbul, Turkey

Published:2022-06-30 Issue:13 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Baş Nuray^ORCID

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/s12517-022-10365-2.pdf

Reference57 articles.

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2. Abdollahi A, Pradhan B (2021b) Integrating semantic edges and segmentation information for building extraction from aerial images using UNet. Mach Learn Appl 6(April):100194. https://doi.org/10.1016/j.mlwa.2021.100194

3. Abdollahi A, Pradhan B, Gite S, Alamri A (2020) 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

4. Acharki S, Frison PL, Amharref M, Khoj H, Bernoussi AS (2021) Complementarity OF Sentinel-2 optical images with radar images (sentinel-1 AND alos-palsar-2) for plant cover mapping: application to a protected area and its surroundings in northwestern Morocco via three machine learning algorithms. Rev Fr Photogramm Teledetect 223(November):143–158. https://doi.org/10.52638/RFPT.2021.599

5. Aguilar FJ, Mills JP, Delgado J, Aguilar MA, Negreiros JG, Pérez JL (2010) Modelling vertical error in LiDARderived digital elevation models. ISPRS J Photogramm Remote Sens 65(1):103–110. https://doi.org/10.1016/j.isprsjprs.2009.09.0

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