为了更好地了解国内外河口区生态修复与评估的研究进展,基于文献计量分析,以Web of Science和中国知网为数据来源,通过VOSviewer软件进行可视化分析,对入海河口区的生态修复及其效果评估进行了梳理。结果表明:国内外河口生态修复与评估...为了更好地了解国内外河口区生态修复与评估的研究进展,基于文献计量分析,以Web of Science和中国知网为数据来源,通过VOSviewer软件进行可视化分析,对入海河口区的生态修复及其效果评估进行了梳理。结果表明:国内外河口生态修复与评估文献发表数量均呈上升趋势,且外文文献的发文数量显著高于中文文献。河口生态修复与评估研究领域所涉及的学科主要包括环境科学、海洋学和生态学等。当前河口生态修复与评估研究领域中,国外热点研究主要包括气候改变等干扰对河口湿地生态系统的影响、氮磷时空动态变化以及生物多样性与功能等生态系统服务的恢复、恢复能力和恢复的管理方法等;国内研究热点主要包括海洋生态修复政策、围填海管控、海陆统筹修复效果考核评估的方法和海岸带整治修复效果的评估等。陆海统筹的海洋生态修复与生态系统的自然恢复等方面的研究受到了越来越多研究学者的关注。综合分析表明,我国应加强基于陆海统筹的入海河口生态系统生态修复、入海河口生态系统生态修复工程的绩效评估和评估后的适应性管理等方面的研究和探索。展开更多
The evaluation index of camouflage patterns is important in the field of military application.It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the huma...The evaluation index of camouflage patterns is important in the field of military application.It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism.In order to make the evaluation method more computationally intelligent,a Multi-Feature Camouflage Fused Index(MF-CFI)is proposed based on the comparison of grayscale,color and texture features between the target and the background.In order to verify the effectiveness of the proposed index,eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index(UIQI),Camouflage Similarity Index(CSI)and Structural Similarity(SSIM).Twenty-four different simulated targets are designed in a grassland background,28 observers participate in the experiment and record the eye movement data during the observation process.The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data,both in the designed digital camouflage patterns and largespot camouflage patterns.Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception,the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.展开更多
文摘为了更好地了解国内外河口区生态修复与评估的研究进展,基于文献计量分析,以Web of Science和中国知网为数据来源,通过VOSviewer软件进行可视化分析,对入海河口区的生态修复及其效果评估进行了梳理。结果表明:国内外河口生态修复与评估文献发表数量均呈上升趋势,且外文文献的发文数量显著高于中文文献。河口生态修复与评估研究领域所涉及的学科主要包括环境科学、海洋学和生态学等。当前河口生态修复与评估研究领域中,国外热点研究主要包括气候改变等干扰对河口湿地生态系统的影响、氮磷时空动态变化以及生物多样性与功能等生态系统服务的恢复、恢复能力和恢复的管理方法等;国内研究热点主要包括海洋生态修复政策、围填海管控、海陆统筹修复效果考核评估的方法和海岸带整治修复效果的评估等。陆海统筹的海洋生态修复与生态系统的自然恢复等方面的研究受到了越来越多研究学者的关注。综合分析表明,我国应加强基于陆海统筹的入海河口生态系统生态修复、入海河口生态系统生态修复工程的绩效评估和评估后的适应性管理等方面的研究和探索。
基金Natural Science Foundation of Jiangsu Province&Key Laboratory Foundation,grant number is BK20180579&6142206180204 respectively.
文摘The evaluation index of camouflage patterns is important in the field of military application.It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism.In order to make the evaluation method more computationally intelligent,a Multi-Feature Camouflage Fused Index(MF-CFI)is proposed based on the comparison of grayscale,color and texture features between the target and the background.In order to verify the effectiveness of the proposed index,eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index(UIQI),Camouflage Similarity Index(CSI)and Structural Similarity(SSIM).Twenty-four different simulated targets are designed in a grassland background,28 observers participate in the experiment and record the eye movement data during the observation process.The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data,both in the designed digital camouflage patterns and largespot camouflage patterns.Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception,the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.
