Interpretable land cover classification with modal decision trees

Interpretable land cover classification with modal decision trees

ABSTRACTLand cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial imagery by predicting a label carrying information about its nature. Despite the importance of having transparent, symbolic decision models, in the recent literature, LCC has been mainly approach...

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Bibliographic Details
Main Authors: G. Pagliarini, G. Sciavicco
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:European Journal of Remote Sensing
Subjects:
Interpretable machine learning
modal logic
decision tree learning
hyperspectral image classification
land use
land cover
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2023.2262738

Internet

https://www.tandfonline.com/doi/10.1080/22797254.2023.2262738

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