Comparative analysis of different algorithms for VAS station land cover classification with limited training points

Comparative analysis of different algorithms for VAS station land cover classification with limited training points

The Valencian Anchor Station (VAS) (Spain) is an outstanding site operating as a central location for calibrating and validating numerous remote sensing instruments and products. Hence, an accurate characterization of its land cover is required. This research conducts a land cover classification wit...

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Bibliographic Details
Main Authors: D. García-Rodríguez, A. Pérez-Hoyos, B. Martínez, Pablo Catret Ruber, J. Javier Samper-Zapater, E. López-Baeza, J.J. Martínez Durá
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Land-cover classification
Feature selection
Machine learning
Deep learning
Multi-temporal training set size
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225001840
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