Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series

Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series

The automatic detection of Center Pivot Irrigation Systems (CPIS) is fundamental for establishing public policies, especially in countries with a growth perspective in this technology, like Brazil. Previous studies to detect CPIS using deep learning used single-date optical images, containing limita...

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Bibliographic Details
Main Authors: Anesmar Olino de Albuquerque, Osmar Luiz Ferreira de Carvalho, Cristiano Rosa e Silva, Argelica Saiaka Luiz, Pablo P. de Bem, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimaraes, Osmar Abilio de Carvalho Junior
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cloud
deep learning
mask R-CNN
time series
Online Access:https://ieeexplore.ieee.org/document/9513599/

Internet

https://ieeexplore.ieee.org/document/9513599/

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