SVM-based classification of multi-temporal Sentinel-2 imagery of dense urban land cover of Delhi-NCR region
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01008-5.pdf
Reference58 articles.
1. Abdi AM (2020) Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. Gisci Remote Sens 57(1):1–20. https://doi.org/10.1080/15481603.2019.1650447
2. Abdollahi A, Bakhtiari HRR, Nejad MP (2018) Investigation of SVM and Level Set Interactive Methods for Road Extraction from Google Earth Images. J Indian Soc Remote Sens 46(3):423–430. https://doi.org/10.1007/s12524-017-0702-x
3. Alzubaidi L, Zhang J, Humaidi AJ, Al-Dujaili A, Duan Y, Al-Shamma O, Santamaría J, Fadhel MA, Al-Amidie M, Farhan L (2021) Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J Big Data 8(1):53. https://doi.org/10.1186/s40537-021-00444-8
4. Ball JE, Anderson DT, Chan SC (2017) Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community. J Appl Remote Sens 11(4):042609. https://doi.org/10.1117/1.JRS.11.042609
5. Census of India. (n.d.). Retrieved September 27, 2022, from https://censusindia.gov.in/census.website/. Accessed 27 Sept 2022
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