The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method f...The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method for infrared and visible image fusion is proposed.The encoder designed according to the optimization objective consists of a base encoder and a detail encoder,which is used to extract low-frequency and high-frequency information from the image.This extraction may lead to some information not being captured,so a compensation encoder is proposed to supplement the missing information.Multi-scale decomposition is also employed to extract image features more comprehensively.The decoder combines low-frequency,high-frequency and supplementary information to obtain multi-scale features.Subsequently,the attention strategy and fusion module are introduced to perform multi-scale fusion for image reconstruction.Experimental results on three datasets show that the fused images generated by this network effectively retain salient targets while being more consistent with human visual perception.展开更多
为了解生物炭在重金属污染领域应用的研究进展和未来发展趋势,该研究基于Web of Science核心数据库和中国知网期刊数据库,利用CiteSpace软件从发文量、发文国家、发文机构、发文作者、载文期刊、高被引论文、关键词等方面对2006-2023年...为了解生物炭在重金属污染领域应用的研究进展和未来发展趋势,该研究基于Web of Science核心数据库和中国知网期刊数据库,利用CiteSpace软件从发文量、发文国家、发文机构、发文作者、载文期刊、高被引论文、关键词等方面对2006-2023年生物炭在重金属污染领域应用的文献进行分析。结果表明:该领域的中英文发文量均呈上升趋势,发文量最多的国家和研究机构分别是中国和中国科学院;中文文献中各作者的发文量差异不大,Ok Yong Sik和Wang Hailong是英文文献发文量最多的作者;《农业环境科学学报》和《Science of the Total Environment》分别是发文量最大的中、英文期刊;研究主要集中于生物炭的制备、改性及其对土壤重金属有效性的影响,且生物炭的低成本开发、对污染土壤的修复机制及其在农业实践中的推广应用是未来研究的重要方向。展开更多
基金Supported by the Henan Province Key Research and Development Project(231111211300)the Central Government of Henan Province Guides Local Science and Technology Development Funds(Z20231811005)+2 种基金Henan Province Key Research and Development Project(231111110100)Henan Provincial Outstanding Foreign Scientist Studio(GZS2024006)Henan Provincial Joint Fund for Scientific and Technological Research and Development Plan(Application and Overcoming Technical Barriers)(242103810028)。
文摘The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method for infrared and visible image fusion is proposed.The encoder designed according to the optimization objective consists of a base encoder and a detail encoder,which is used to extract low-frequency and high-frequency information from the image.This extraction may lead to some information not being captured,so a compensation encoder is proposed to supplement the missing information.Multi-scale decomposition is also employed to extract image features more comprehensively.The decoder combines low-frequency,high-frequency and supplementary information to obtain multi-scale features.Subsequently,the attention strategy and fusion module are introduced to perform multi-scale fusion for image reconstruction.Experimental results on three datasets show that the fused images generated by this network effectively retain salient targets while being more consistent with human visual perception.
文摘为了解生物炭在重金属污染领域应用的研究进展和未来发展趋势,该研究基于Web of Science核心数据库和中国知网期刊数据库,利用CiteSpace软件从发文量、发文国家、发文机构、发文作者、载文期刊、高被引论文、关键词等方面对2006-2023年生物炭在重金属污染领域应用的文献进行分析。结果表明:该领域的中英文发文量均呈上升趋势,发文量最多的国家和研究机构分别是中国和中国科学院;中文文献中各作者的发文量差异不大,Ok Yong Sik和Wang Hailong是英文文献发文量最多的作者;《农业环境科学学报》和《Science of the Total Environment》分别是发文量最大的中、英文期刊;研究主要集中于生物炭的制备、改性及其对土壤重金属有效性的影响,且生物炭的低成本开发、对污染土壤的修复机制及其在农业实践中的推广应用是未来研究的重要方向。
基金supported by the National Natural Science Foundation of China (No. 31971028, 31571111)Major Project of Medicine Science and Technology of PLA, China (No. AWS17J012)
