Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea-Reference-Cited by-同舟云学术

Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea

Published:2020-11 Issue:11 Volume:58 Page:7589-7601
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Jo Hyun-Woo^ORCID,Lee Sujong,Park Eunbeen^ORCID,Lim Chul-Hee^ORCID,Song Cholho^ORCID,Lee Halim,Ko Youngjin,Cha Sungeun^ORCID,Yoon Hoonjoo,Lee Woo-Kyun^ORCID

Funder

International Research and Development Program of the National Research Foundation of Korea (NRF) through the Ministry of Science, ICT, and Future Planning

Korea University

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9240120/09063568.pdf?arnumber=9063568

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