Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning

Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning

Global Earth observation is becoming increasingly important in understanding and addressing critical aspects of life on our planet, including environmental issues, natural disasters, sustainable development, and others. Finding similarities in landscapes may provide useful information regarding appl...

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Bibliographic Details
Main Authors: Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
Earth observation
landscape similarity
image retrieval
satellite images
unsupervised learning
Online Access:https://www.mdpi.com/2072-4292/16/1/142

Internet

https://www.mdpi.com/2072-4292/16/1/142

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