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Field Patch Extraction Based on High-Resolution Imaging and U 2 -Net++ Convolutional Neural Networks.

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Title: Field Patch Extraction Based on High-Resolution Imaging and U 2 -Net++ Convolutional Neural Networks.
Authors: Long, Chen1,2,3 (AUTHOR) chenlong@edu.iwhr.com, Wenlong, Song1,2,3 (AUTHOR) songwl@iwhr.com, Tao, Sun1,2,3 (AUTHOR) luyzh@iwhr.com, Yizhu, Lu1,2,3 (AUTHOR) jiangwei@iwhr.com, Wei, Jiang1,2,3 (AUTHOR) liuhongjie@edu.iwhr.com, Jun, Liu4 (AUTHOR) yjpl79@foxmail.com, Hongjie, Liu1,2,3 (AUTHOR) fengtianshi@edu.iwhr.com, Tianshi, Feng1,2,3 (AUTHOR) guirongjie@edu.iwhr.com, Rongjie, Gui1,2,3 (AUTHOR) h.abbas@edu.iwhr.com, Abbas, Haider1,2,3 (AUTHOR) linshengjie@edu.iwhr.com, Lingwei, Meng5 (AUTHOR) 2210902055@cnu.edu.cn, Shengjie, Lin1,2,3 (AUTHOR), Qian, He5 (AUTHOR) heqian66@sdsfdx.wecom.work
Source: Remote Sensing. Oct2023, Vol. 15 Issue 20, p4900. 22p.
Database: Academic Search Ultimate
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  Data: Field Patch Extraction Based on High-Resolution Imaging and U 2 -Net++ Convolutional Neural Networks.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Oct2023, Vol. 15 Issue 20, p4900. 22p.
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