Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots

Estimating the number and size of irrigation center pivot systems (CPS) from remotely sensed data, using artificial intelligence (AI), is a potential information source for assessing agricultural water use. In this study, we identified two technical challenges in the neural-network-based classificat...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Lukas Graf, Heike Bach, Dirk Tiede
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Subjects:
center pivot systems
irrigation
semantic segmentation
U-NET
neural network
AI
Online Access:https://www.mdpi.com/2072-4292/12/23/3937

Internet

https://www.mdpi.com/2072-4292/12/23/3937

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