Machine Learning Algorithms for Classifying Land Use and Land Cover
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9610-0_20
Reference28 articles.
1. Aburas MM, Ho YM, Ramli MF, Ash’aari ZH (2017) Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an analytical hierarchy process and frequency ratio. Int J Appl Earth Observ Geoinf 59:65–78. https://doi.org/10.1016/j.jag.2017.03.006
2. Aburas MM, Ho YM, Ramli MF, Ash’aari ZH (2018) Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis. Environ Monit Assess 190:156
3. Arabameri A, Pal SC, Rezaie F, Nalivan OA, Chowdhuri I, Saha A, Lee S, Moayedi H (2021) Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques. J Hydrol Regional Stud 36:100848
4. Arun PV, Buddhiraju KM, Porwal A (2019) Capsulenet-based spatial–spectral classifier for hyperspectral images. IEEE J Sel Top Appl Earth Observ Remote Sens 12:1849–1865 (2019)
5. Chen S, Tian Y (2015) Pyramid of spatial relations for scene-level land use classification. IEEE Trans Geosci Remote Sens 53:1947–1957. https://doi.org/10.1109/TGRS.2014.2351395
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