Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series

Research article (International Journal of Applied Earth Observation and Geoinformation, 2023) · cited 80× · AI/ML
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Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series

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Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-scattering-characteristics-of-mangrove-species-from-optuna-based-optimal-machine-learning-classification-usi
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BibTeX @misc{4ortxyz_quantifying-scattering-characteristics-of-mangrove-species-from-optuna-based-optimal-machine-learning-classification-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-scattering-characteristics-of-mangrove-species-from-optuna-based-optimal-machine-learning-classification-usi}, note = {Accessed: 2026-05-24}}
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