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UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management

文献类型：期刊论文

作者Wang, Lei1,2,3; Chen, Cheng1,2; Chen, Fang2,3,4; Wang, Ning5; Li, Congrong2,3,6; Zhang, Haiying2,3; Wang, Yu7,8; Yu, Bo2,3
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2024
卷号62页码:14
关键词Animal husbandry extraction of sheep high spatial resolution remote sensing (RS) images semantic segmentation small-object extraction
ISSN号0196-2892
DOI10.1109/TGRS.2024.3355925
通讯作者Chen, Fang(chenfang@radi.ac.cn) ; Yu, Bo(yubo@radi.ac.cn)
英文摘要The extraction of sheep from satellite images plays an extremely important role in the precise automation of animal husbandry management. Current methods of extracting sheep mainly use hardware, such as radio frequency equipment and visual ear tags, which are prone to loss or damage. In this study, a new network, UGTransformer, was developed to extract sheep from high spatial resolution remote sensing (RS) images. In UGTransformer, a merge block was designed to fuse two scales of features in the encoder to improve the multiscale feature fusion capability. It enhanced the integration of global context features and spatial detailed features by combining the features in the decoder. A global connectivity module containing two sliding sub-modules, horizontal and vertical, was developed to correlate the horizontal and vertical features and correlate the arbitrary positions of the feature maps through the integration of the two modules, which realized the extraction of global contextual information. Our experimental results showed that the proposed UGTransformer performed well in comparison with UNet, Deeplab v3+, DCSwin, BANet, and UNetFormer, four recently proposed network structures for semantic segmentation. UGTransformer achieved at least a 1.8% increase in mean intersection over the union. This study not only provided potential solutions for the problems inherent in large-scale sheep extraction but also developed mechanisms for small-object extraction. The implementation code is available at https://github.com/chenchengStore/GlobalLocalAttention, and the RS images used in this study are available at https://github.com/chencheng-2023/UGTransformer-remote-sensing-images.
资助项目National Key Research and Development Program of China
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001164472500040
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/203471]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Fang; Yu, Bo
作者单位1.Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China
2.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
5.Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
7.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China
8.State Environm Protect Key Lab Satellite Remote Se, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Lei,Chen, Cheng,Chen, Fang,et al. UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:14.
APA Wang, Lei.,Chen, Cheng.,Chen, Fang.,Wang, Ning.,Li, Congrong.,...&Yu, Bo.(2024).UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,14.
MLA Wang, Lei,et al."UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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