Detection of Irrigated and Rainfed Crops with Machine Learning Multivariate Time-Series Object-Based Classification Using Sentinel-2 Imagery-Reference-Cited by-同舟云学术

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Detection of Irrigated and Rainfed Crops with Machine Learning Multivariate Time-Series Object-Based Classification Using Sentinel-2 Imagery

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Saquella Simone¹,Ferrari Alvise²,Pampanoni Valerio²,Laneve Giovanni²

Affiliation:

1. Sapienza University of Rome,Department of Astronautical and Electrical Engineering (DIAEE),Italy

2. Sapienza University of Rome,School of Aerospace Engineering,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283190.pdf?arnumber=10283190

Reference14 articles.

1. Multivariate time series classification with WEASEL + MUSE;schäfer;3rd ECML/PKDD workshop on AALTD,2018

2. Fast and Accurate Time Series Classification with WEASEL

3. SFA

4. A time series forest for classification and feature extraction

5. Detection of Irrigated and Rainfed Crops in Temperate Areas Using Sentinel-1 and Sentinel-2 Time Series

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