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针对工地、危险区域等场景需要实现同时佩戴安全帽与口罩的自动检测问题,提出一种改进的YOLOv3算法以提高同时检测安全帽和口罩佩戴的准确率。首先,对网络模型中的聚类算法进行优化,使用加权核K-means聚类算法对训练数据集聚类分析,选取更适合小目标检测的AnchorBox,以提高检测的平均精度和速度;然后,优化YOLO网络内部的Darknet特征网络层,将4倍降采样提取的特征图进行2倍上采样,再与2...
中国民航飞行安全风险监测防控关键技术研究与应用
中国民航 安全风险 监测防控
2022/9/9
LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD
Landslide Inventory Mapping Change Detection Normalized Difference Vegetation Index Principal Component Analysis Markov Random Field Sentinel-2 Images
2018/5/15
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
RESEARCH ON AIRCRAFT TARGET DETECTION ALGORITHM BASED ON IMPROVED RADIAL GRADIENT TRANSFORMATION
Aircraft Target Detection Radial Gradient Transformation Rotation-Invariant Feature Polar Form Look-up Table
2018/5/17
Aiming at the problem that the target may have different orientation in the unmanned aerial vehicle (UAV) image, the target detection algorithm based on the rotation invariant feature is studied,and t...
DETECTION OF LANDSLIDES WITH SAR POLARYMETRY: CASE STUDY OF SOUTH-EASTERN COLOMBIA
Backscattering Coefficient Dispersion Mechanism Landslides Polarimetry SAR (PolSAR) Entropy – Alpha Parameter Classification Principal Component Analysis
2018/5/8
SAR polarimetry (PolSAR) is a method that can be used to investigate landslides. Polarimetric scattering power decomposition allows to separate the total power received by the SAR antenna, which is di...