Dear Editor,This letter is concerned with visual perception closely related to heterogeneous images.Facing the huge challenge brought by different image modalities,we propose a visual perception framework based on het...Dear Editor,This letter is concerned with visual perception closely related to heterogeneous images.Facing the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous image knowledge,i.e.,the domain knowledge associated with specific vision tasks,to better address the corresponding visual perception problems.展开更多
Dear Editor,This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change detector.Change detection is fundamental to many computer vision tasks.Although exist...Dear Editor,This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change detector.Change detection is fundamental to many computer vision tasks.Although existing solutions based on deep neural networks are able to achieve impressive results.展开更多
[目的]探明施氮量对低谷蛋白水稻Oryza sativa产量及品质的影响。[方法]在大田栽培条件下,设置5个施氮处理,N0、N1、N2、N3和N4处理的施氮量分别为0、90、135、180和225 kg hm^-2,研究不同氮肥水平对低谷蛋白水稻‘ER22’产量、籽粒蛋...[目的]探明施氮量对低谷蛋白水稻Oryza sativa产量及品质的影响。[方法]在大田栽培条件下,设置5个施氮处理,N0、N1、N2、N3和N4处理的施氮量分别为0、90、135、180和225 kg hm^-2,研究不同氮肥水平对低谷蛋白水稻‘ER22’产量、籽粒蛋白质组分含量和比例、以及稻米品质的影响。[结果]在施氮量为0~180 kg·hm^-2的范围内,有效穗数、结实率、实粒数和水稻产量随着施氮量的增加而逐渐增加;但在N4处理下,结实率与实粒数均下降,导致产量降低。花后7~35 d,‘ER22’籽粒总蛋白含量及各组分蛋白含量均随着施氮量的增加而增加,但各组分蛋白的比例不变;花后35 d籽粒清蛋白和球蛋白含量在N2、N3和N4处理间差异均不显著,而醇溶蛋白含量则在N2、N3和N4处理间差异均显著,谷蛋白含量在N3和N4处理间无显著差异。‘ER22’稻米的食味品质在N1和N2处理下表现良好,N3处理的稻米加工品质最好,N4处理的稻米综合品质降低。[结论]实现低谷蛋白水稻‘ER22’高产优质的适宜施氮范围在135~180kg·hm^-2之间。展开更多
基金supported in part by the National Natural Science Foundation of China(62302161,62303361)the Postdoctoral Innovative Talent Support Program of China(BX20230114)。
文摘Dear Editor,This letter is concerned with visual perception closely related to heterogeneous images.Facing the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous image knowledge,i.e.,the domain knowledge associated with specific vision tasks,to better address the corresponding visual perception problems.
基金supported in part by the National Natural Science Foundation of China (62302161, 62303361)the Postdoctoral Innovation Talent Support Program(BX20230114)。
文摘Dear Editor,This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change detector.Change detection is fundamental to many computer vision tasks.Although existing solutions based on deep neural networks are able to achieve impressive results.
