Integration of artificial intelligence–based LULC mapping and prediction for estimating ecosystem services for urban sustainability: past to future perspective-Reference-Cited by-同舟云学术

Integration of artificial intelligence–based LULC mapping and prediction for estimating ecosystem services for urban sustainability: past to future perspective

Published:2021-08-25 Issue:18 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Bindajam Ahmed Ali,Mallick Javed^ORCID,Talukdar Swapan,Islam Abu Reza Md. Towfiqul,Alqadhi Saeed

Funder

King Khalid University

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/s12517-021-08251-4.pdf

Reference110 articles.

1. Abdollahi A, Pradhan B (2021) Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images. Expert Syst Appl 176:114908

2. Abdollahi, A., Pradhan, B. and Alamri, A.M., 2020. An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images. Geocarto International, pp.1-16.

3. Abdollahi A, Pradhan B, Gite S, Alamri A (2020a) Building footprint extraction from high resolution aerial images using Generative Adversarial Network (GAN) architecture. IEEE Access 8:209517–209527

4. Abdollahi A, Pradhan B, Shukla N, Chakraborty S, Alamri A (2020b) Deep learning approaches applied to remote sensing datasets for road extraction: a state-of-the-art review. Remote Sens 12(9):1444

5. Abdollahi A, Pradhan B, Alamri A (2020c) VNet: an end-to-end fully convolutional neural network for road extraction from high-resolution remote sensing data. IEEE Access 8:179424–179436

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