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Research Article

Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach

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Article: 2173659 | Received 19 Aug 2022, Accepted 24 Jan 2023, Published online: 22 Feb 2023

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Prosenjit Barman, Sheikh Mustak, Monika Kuffer & Sudhir Kumar Singh. (2023) Transfer-Ensemble Learning: A Novel Approach for Mapping Urban Land Use/Cover of the Indian Metropolitans. Sustainability 15:24, pages 16593.
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Hemant Singh Pokhariya, D P Singh & Rishi Prakash. (2023) Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques. Engineering Research Express 5:4, pages 045052.
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Haocheng Huang, Xiaohui Lei, Weihong Liao, Xiangyang Zuo & Hao Wang. (2023) A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China. Science of The Total Environment 904, pages 165834.
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Hailegebreal Tamirat, Mekuria Argaw & Meron Tekalign. (2023) Support vector machine-based spatiotemporal land use land cover change analysis in a complex urban and rural landscape of Akaki river catchment, a Suburb of Addis Ababa, Ethiopia. Heliyon 9:11, pages e22510.
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Yashon O. Ouma, Thabiso G. Gabasiane & Nyaladzani Nkhwanana. (2023) Mapping Prosopis L. (Mesquites) Using Sentinel-2 MSI Satellite Data, NDVI and SVI Spectral Indices with Maximum-Likelihood and Random Forest Classifiers. Journal of Sensors 2023, pages 1-18.
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Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang, Shahid Hussain, Saurabh Shukla & Dhivyadharsini Satheesh. (2023) Ensemble Multifeatured Deep Learning Models and Applications: A Survey. IEEE Access 11, pages 107194-107217.
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