Comparison of machine learning methods for mapping sea farms with high spatial resolution imagery-Reference-Cited by-同舟云学术

Comparison of machine learning methods for mapping sea farms with high spatial resolution imagery

Published:2019-12-12 Issue:15 Volume:41 Page:5657-5668
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Choung Yun-Jae¹²^ORCID,Jo Myung-Hee³^ORCID

Affiliation:

1. Global Land Satellite Information Centre, Kyungpook National University , Daegu, Republic of Korea

2. GIS Research Centre, Geo C&I Co., Ltd ., Daegu, Republic of Korea

3. Department of Satellite Geo-informatics Engineering, School of Convergence and Fusion System Engineering, Kyungpook National University , Sangju, Republic of Korea

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1701214

Reference19 articles.

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5. Measuring the Quantities of Aquaculture Farming Facilities for Seaweed, Ear Shell and Fish Using High Resolution Aerial Images - A Case of the Wando Region, Jeollanamdo -

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