| 书目名称 | Heterogeneous Spatial Data | | 副标题 | Fusion, Modeling, an | | 编辑 | Giuseppe Patanè,Michela Spagnuolo | | 视频video | | | 丛书名称 | Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and | | 图书封面 |  | | 描述 | New data acquisition techniques are emerging and are providing fast and efficient means for multidimensional spatial data collection. Airborne LIDAR surveys, SAR satellites, stereo-photogrammetry and mobile mapping systems are increasingly used for the digital reconstruction of the environment. All these systems provide extremely high volumes of raw data, often enriched with other sensor data (e.g., beam intensity). Improving methods to process and visually analyze this massive amount of geospatial and user-generated data is crucial to increase the efficiency of organizations and to better manage societal challenges. Within this context, this book proposes an up-to-date view of computational methods and tools for spatio-temporal data fusion, multivariate surface generation, and feature extraction, along with their main applications for surface approximation and rainfall analysis. The book is intended to attract interest from different fields, such as computer vision, computer graphics,geomatics, and remote sensing, working on the common goal of processing 3D data. To this end, it presents and compares methods that process and analyze the massive amount of geospatial data in order t | | 出版日期 | Book 2016 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02589-1 | | isbn_softcover | 978-3-031-01461-1 | | isbn_ebook | 978-3-031-02589-1Series ISSN 2469-4215 Series E-ISSN 2469-4223 | | issn_series | 2469-4215 | | copyright | Springer Nature Switzerland AG 2016 |
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发表于 2025-3-21 16:20:04
