绝缘子是保障输电线正常运行的重要部件,而传统通过人工目视判断的绝缘子缺陷检测方式耗材耗力,近年来得到大力推广的无人机电力巡检方式在图像中快速定位并且找出缺陷绝缘子自动化程度不高,效率较低。针对无人机电力巡检方式提出基于深度学习的Faster RCNN方法,识别无人机图像中的绝缘子,并且对其进行缺陷判别。首先,进行绝缘子的样本采集,采集的样本保证种类丰富、数量足够。其次,利用采集的样本训练Faster-RCNN网络模型,对待检测图像进行识别,确定绝缘子所在具体位置。最后,对提取出绝缘子进行图像分割 ...
虢韬 +7 more
doaj
基于2005—2017年中国及周边地区9场地震滑坡制作的全国滑坡危险性
目的通过构建随机森林模型,全面评估和预测全国范围内的滑坡危险性,为防灾减灾提供科学依据和决策支持。方法基于9个典型地震区域(如汶川、芦山、鲁甸等)的滑坡样本数据,综合提取滑坡正负样本点,并结合地形、降雨、土地利用、NDVI等多因子数据,利用栅格标准化处理和波段合成技术,构建随机森林模型进行训练与验证。在此基础上,应用模型对全国范围的滑坡危险性进行预测,并通过AUC值等指标评估模型性能,分析关键影响因子及其作用机制。结果1)随机森林模型在多个地震区域均表现出较高的预测性能,AUC值最高接近1 ...
关效羽, 杨文涛
doaj
[Clinical application research of three-dimensional printed patient-specific cutting guides in Cole midfoot osteotomy]. [PDF]
Zhang Z +7 more
europepmc +1 more source
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Li H, Song Z, Zhao Y, Li M.
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Sun SZ +6 more
europepmc +1 more source
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Abdomen Group of Chinese Society of Radiology +7 more
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[Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model]. [PDF]
Yang W, Zhang R, Keung S.
europepmc +1 more source

