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Multilevel-based algorithm for hyperspectral image interpretation

文献类型：期刊论文

作者Qiu, Shi; Ye, Huping3,4; Liao, Xiaohan1,3,4; Zhang, Benyue; Zhang, Miao; Zeng, Zimu
刊名COMPUTERS & ELECTRICAL ENGINEERING
出版日期2024
卷号113页码:109033
关键词Hyperspectrum Interpretation Attention Feature association Semantic
DOI10.1016/j.compeleceng.2023.109033
产权排序2
文献子类Article
英文摘要Hyperspectral imagery contains spatial and spectral information, which can reveal the material properties of the target while intuitively displaying its spatial attributes. It has been applied in target recognition, search and rescue, and other fields. However, manual detection inevitably leads to missed detections and false alarms, necessitating the assistance of artificial intelligence for detection. To address this, we propose the multilevel-based algorithm for hyperspectral image interpretation. 1) From the spatial and spectral dimensions, we propose a semantic segmentation algorithm based on multidimensional information fusion to achieve semantic segmentation. 2) From the semantic and textual representation dimensions, we introduce a context interpretation module based on visual attention. We construct both real and simulated databases to validate the effectiveness of the algorithm. Experimental results demonstrate that the average accuracy of semantic segmentation achieved by the proposed algorithm is 74.3%. Additionally, the BLEU1 score reaches 71.2, outperforming mainstream algorithms by 1.4.
WOS关键词NETWORK ; RGB
WOS研究方向Computer Science ; Engineering
WOS记录号WOS:001126685300001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/200990]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Res Ctr UAV Applicat & Regulat, Beijing 100101, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol CAS, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714		 Qiu, Shi,Ye, Huping,Liao, Xiaohan,et al. Multilevel-based algorithm for hyperspectral image interpretation[J]. COMPUTERS & ELECTRICAL ENGINEERING,2024,113:109033.
APA Qiu, Shi,Ye, Huping,Liao, Xiaohan,Zhang, Benyue,Zhang, Miao,&Zeng, Zimu.(2024).Multilevel-based algorithm for hyperspectral image interpretation.COMPUTERS & ELECTRICAL ENGINEERING,113,109033.
MLA Qiu, Shi,et al."Multilevel-based algorithm for hyperspectral image interpretation".COMPUTERS & ELECTRICAL ENGINEERING 113(2024):109033.

入库方式： OAI收割

来源：地理科学与资源研究所

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