Supervised learning in remote sensing and geospatial science : theory and practice /

Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models....

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Bibliographic Details

Main Authors:	Maxwell, Aaron E. (Author), Ramezan, Christopher (Author), He, Yaqian (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands : Elsevier, [2025]
Subjects:	Supervised learning (Machine learning) Remote sensing > Data processing. Geographic information systems > Data processing. Apprentissage supervisé (Intelligence artificielle) Electronic books.
Online Access:	Connect to the full text of this electronic book