PHOTOGRAMMETRIC RECORD（摄影测量记录杂志）影响因子_期刊投稿发表

期刊简介

The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline.Relevant topics include, but are not restricted to:- Photogrammetric sensor calibration and characterisation- Laser scanning (lidar)- Image and 3D sensor technology (e.g. range cameras, natural user interface systems)- Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification)- Mobile mapping and unmanned vehicular systems (UVS; UAVs)- Registration and orientation- Data fusion and integration of 3D and 2D datasets- Point cloud processing- 3D modelling and reconstruction- Algorithms and novel software- Visualisation and virtual reality- Terrain/object modelling and photogrammetric product generation- Geometric sensor models- Databases and structures for imaging and 3D modelling- Standards and best practice for data acquisition and storage- Change detection and monitoring, and sequence analysis

《摄影测量记录》是一份国际期刊，包含原创、独立和快速审稿的文章，反映了摄影测量、3D成像、计算机视觉和其他相关非接触领域的现代进步。测量工作流程的所有方面都是相关的，从传感器表征和建模、数据采集、处理算法和产品生成，到新的应用。该杂志提供了一个新的研究记录，这将有助于提高摄影测量知识和技术的应用以新的方式。相关主题包括但不限于：-摄影测量传感器校准和表征-激光扫描（激光雷达）-图像和3D传感器技术（例如测距相机、自然用户界面系统）-图像处理的摄影测量方面（例如辐射测量方法、特征提取、图像匹配和场景分类）-移动的测绘和无人驾驶车辆系统（UVS）; UAV）-配准和定向-3D和2D数据集的数据融合和集成-点云处理- 3D建模和重建-算法和新型软件-可视化和虚拟现实-地形/对象建模和摄影测量产品生成-几何传感器模型-用于成像和3D建模的数据库和结构-数据采集和存储的标准和最佳实践-变化检测和监控，和序列分析

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