Remote sensing image object detection is one of the core tasks of remote sensing image processing.In recent years,with the development of deep learning,great progress has been made in object detection in remote sensin...Remote sensing image object detection is one of the core tasks of remote sensing image processing.In recent years,with the development of deep learning,great progress has been made in object detection in remote sensing.However,the problems of dense small targets,complex backgrounds and poor target positioning accuracy in remote sensing images make the detection of remote sensing targets still difficult.In order to solve these problems,this research proposes a remote sensing image object detection algorithm based on improved YOLOX-S.Firstly,the Efficient Channel Attention(ECA)module is introduced to improve the network's ability to extract features in the image and suppress useless information such as background;Secondly,the loss function is optimized to improve the regression accuracy of the target bounding box.We evaluate the effectiveness of our algorithm on the NWPU VHR-10 remote sensing image dataset,the experimental results show that the detection accuracy of the algorithm can reach 95.5%,without increasing the amount of parameters.It is significantly improved compared with that of the original YOLOX-S network,and the detection performance is much better than that of some other mainstream remote sensing image detection methods.Besides,our method also shows good generalization detection performance in experiments on aircraft images in the RSOD dataset.展开更多
目的研究2型糖尿病（T2DM）患者与2型糖尿病并发肺结核（T2DM-PTB）患者膳食营养摄入状况，分析其膳食营养素摄入量存在的差异。方法采用简化食物频率问卷（food frequency questionnaire，FFQ）法，对2017年1月至2017年7月在哈尔滨医...目的研究2型糖尿病（T2DM）患者与2型糖尿病并发肺结核（T2DM-PTB）患者膳食营养摄入状况，分析其膳食营养素摄入量存在的差异。方法采用简化食物频率问卷（food frequency questionnaire，FFQ）法，对2017年1月至2017年7月在哈尔滨医科大学附属第一医院内分泌科住院的T2DM患者（140例），以及同时期在黑龙江省传染病防治院住院的T2DM-PTB患者（140例）进行膳食调查。结果T2DM患者和T2DM-PTB患者能量摄入量（平均每天，以下同）分别为（8444．5±1507．1）kJ和（6424．9±2032．2）kJ（t=6．93，P=0．000）；蛋白质的摄入量分别为（81．9±9．9）g和（57．3±18．5）g（t=9．78，P=0．000）；脂肪摄入量分别为（63．2±35．7）g和（51．7±27．7）g（t=2．12，P=0．036）；碳水化合物摄入量分别为（280．5±33．3）g和（210．3±40．3）g（t=11．23，P=0．000）；铁的摄入量分别为（24．5±4．7）mg和（15．9±3．9）mg（t=11．80，P=0．000）；锌的摄入量分别为（11．8±1．7）mg和（8．312．1）mg（t=10．93，P=0．000）；硒的摄入量分别为（40．5±7．1）mg和（36．6±14．0）mg（t=2．07，P=0．041）；钙的摄入量分别为（518．3±121．2）mg和（393．4±127．9）mg（t=5．93，P=0．000）；维生素A的摄入量分别为（428．0±172．9）μg视黄醇当量（RE）和（346．8±145．5）μgRE（t=3．01，P=0．003）；维生素D的摄入量分别为（1．9±0．9）μg和（3．8±4．5）μg（t=-3．19，P=0．001）；维生素E的摄入量分别为（25．7±17.1）mg和（18．7±12．5）mg（t=2．75，P=0．007）；维生素B1的摄入量分别为（1．2±0．2）mg和（0．8±0．2）mg（t=10.92，P=0．005）；维生素B2的摄入量分别为（0．9±0．1）mg和（0．7±0．3）mg（t=7．07，P=0．000）；维生素B6的摄入量分别为（0．4±0．2）mg和（0．2±0．1）mg（t=8．28，P=0．000）。结论T2DM-PTB患者膳食营养摄入状况较T2DM患者差T2DM-PTB患者和T2DM患者均应增加富含各种维生素及微量元素食物的摄入。展开更多
基金Supported by the National Natural Science Foundation of China (72174172, 71774134)the Fundamental Research Funds for Central University,Southwest Minzu University (2022NYXXS094)。
文摘Remote sensing image object detection is one of the core tasks of remote sensing image processing.In recent years,with the development of deep learning,great progress has been made in object detection in remote sensing.However,the problems of dense small targets,complex backgrounds and poor target positioning accuracy in remote sensing images make the detection of remote sensing targets still difficult.In order to solve these problems,this research proposes a remote sensing image object detection algorithm based on improved YOLOX-S.Firstly,the Efficient Channel Attention(ECA)module is introduced to improve the network's ability to extract features in the image and suppress useless information such as background;Secondly,the loss function is optimized to improve the regression accuracy of the target bounding box.We evaluate the effectiveness of our algorithm on the NWPU VHR-10 remote sensing image dataset,the experimental results show that the detection accuracy of the algorithm can reach 95.5%,without increasing the amount of parameters.It is significantly improved compared with that of the original YOLOX-S network,and the detection performance is much better than that of some other mainstream remote sensing image detection methods.Besides,our method also shows good generalization detection performance in experiments on aircraft images in the RSOD dataset.
文摘目的研究2型糖尿病（T2DM）患者与2型糖尿病并发肺结核（T2DM-PTB）患者膳食营养摄入状况，分析其膳食营养素摄入量存在的差异。方法采用简化食物频率问卷（food frequency questionnaire，FFQ）法，对2017年1月至2017年7月在哈尔滨医科大学附属第一医院内分泌科住院的T2DM患者（140例），以及同时期在黑龙江省传染病防治院住院的T2DM-PTB患者（140例）进行膳食调查。结果T2DM患者和T2DM-PTB患者能量摄入量（平均每天，以下同）分别为（8444．5±1507．1）kJ和（6424．9±2032．2）kJ（t=6．93，P=0．000）；蛋白质的摄入量分别为（81．9±9．9）g和（57．3±18．5）g（t=9．78，P=0．000）；脂肪摄入量分别为（63．2±35．7）g和（51．7±27．7）g（t=2．12，P=0．036）；碳水化合物摄入量分别为（280．5±33．3）g和（210．3±40．3）g（t=11．23，P=0．000）；铁的摄入量分别为（24．5±4．7）mg和（15．9±3．9）mg（t=11．80，P=0．000）；锌的摄入量分别为（11．8±1．7）mg和（8．312．1）mg（t=10．93，P=0．000）；硒的摄入量分别为（40．5±7．1）mg和（36．6±14．0）mg（t=2．07，P=0．041）；钙的摄入量分别为（518．3±121．2）mg和（393．4±127．9）mg（t=5．93，P=0．000）；维生素A的摄入量分别为（428．0±172．9）μg视黄醇当量（RE）和（346．8±145．5）μgRE（t=3．01，P=0．003）；维生素D的摄入量分别为（1．9±0．9）μg和（3．8±4．5）μg（t=-3．19，P=0．001）；维生素E的摄入量分别为（25．7±17.1）mg和（18．7±12．5）mg（t=2．75，P=0．007）；维生素B1的摄入量分别为（1．2±0．2）mg和（0．8±0．2）mg（t=10.92，P=0．005）；维生素B2的摄入量分别为（0．9±0．1）mg和（0．7±0．3）mg（t=7．07，P=0．000）；维生素B6的摄入量分别为（0．4±0．2）mg和（0．2±0．1）mg（t=8．28，P=0．000）。结论T2DM-PTB患者膳食营养摄入状况较T2DM患者差T2DM-PTB患者和T2DM患者均应增加富含各种维生素及微量元素食物的摄入。
