Building Feature Extraction with Machine Learning: Geospatial Applications
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
Taylor & Francis Group
Ort:
Milton
Date:
2022
Language:
Englisch
Additional information
Abstract:
This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.
Object text:
Description based on publisher supplied metadata and other sources
Access and usage options
Citation link:
Administrative details
Created:
2023-04-12
Last changed:
2022-12-09
Added to portal:
2023-04-12
Feedback
Our data sets are in constant development. If you have additional information about this object or discovered an error, please write to us. Information on privacy policy