Rice Semantic Segmentation Using Unet-VGG16: A Case Study in Yunlin, Taiwan

Ida Wahyuni, Wei Jen Wang, Deron Liang, Chin Chun Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In this paper, Unet-VGG16 semantic segmentation network is proposed to segment rice regions in the aerial images of Yunlin, Taiwan. The experimental results show that different combinations of image bands and different image conditions affect the segmentation accuracy. With R-G-NIR bands as input and bright aerial images as the dataset, the Unet-VGG16 network yielded the best segmentation result, achieving a test accuracy of 0.91.

原文???core.languages.en_GB???
主出版物標題ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
主出版物子標題5G Dream to Reality, Proceeding
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665419512
DOIs
出版狀態已出版 - 2021
事件2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 - Hualien, Taiwan
持續時間: 16 11月 202119 11月 2021

出版系列

名字ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding

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???event.eventtypes.event.conference???2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
國家/地區Taiwan
城市Hualien
期間16/11/2119/11/21

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