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基于改进YOLO V5s模型的遥感图像目标检测及应用 被引量:3
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作者 张晨光 滕桂法 丁文卿 《计算机仿真》 2024年第6期244-254,共11页
利用改进YOLO V5s模型实现遥感图像目标检测并用于地域贫困评估。针对现有模型提出了三点改进:加强PAN结构、基于bounding box的RIOU_Loss回归损失函数、协同注意力机制。同时将遥感图像目标作为表征,计算连续时间节点内的贫困率变化。... 利用改进YOLO V5s模型实现遥感图像目标检测并用于地域贫困评估。针对现有模型提出了三点改进:加强PAN结构、基于bounding box的RIOU_Loss回归损失函数、协同注意力机制。同时将遥感图像目标作为表征,计算连续时间节点内的贫困率变化。实验结果表明,改进模型的P、R、mAP@0.5、mAP@0.5:0.95值存在不同程度的提升,而Loss值有所下降。因此,与原模型相比,改进模型具备更精准的目标检测能力。同时,与传统的统计数据方法相比,改进模型为地域贫困评估提供了一种等效的无数据评估思路。 展开更多
关键词 遥感 目标检测 仿真
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Current Status of Objectification of Four Diagnostic Methods on Constitution Recognition of Chinese Medicine 被引量:2
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作者 LI Cong-cong YAN Xin-sheng +1 位作者 LIU Ming-hao teng gui-fa 《Chinese Journal of Integrative Medicine》 SCIE CAS CSCD 2022年第12期1137-1146,共10页
Chinese medicine(CM)has thousands of years of experience in prevention of diseases.As for CM,people's constitution is closely related to their health status,thus recognition of CM constitution is the fundamental a... Chinese medicine(CM)has thousands of years of experience in prevention of diseases.As for CM,people's constitution is closely related to their health status,thus recognition of CM constitution is the fundamental and core contentof research on constitution types.With development of technologies such as sensors,arificial intelligence and big data,objectification of the four diagnostic methods of CM has gradually matured,bringing changes in the mindset and innovations in technical means for recognition of CM constitution.This paper presents a systematic review of the latest research trends in constitution recognition based on objectification of diagnostic methods in CM. 展开更多
关键词 Chinese medicine constitution recognition four diagnostic methods OBJECTIFICATION machine learning deep learning
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