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Titlebook: Heterogeneous Spatial Data; Fusion, Modeling, an Giuseppe Patanè,Michela Spagnuolo Book 2016 Springer Nature Switzerland AG 2016

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發(fā)表于 2025-3-21 16:20:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Heterogeneous Spatial Data
副標(biāo)題Fusion, Modeling, an
編輯Giuseppe Patanè,Michela Spagnuolo
視頻videohttp://file.papertrans.cn/427/426012/426012.mp4
叢書名稱Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and
圖書封面Titlebook: Heterogeneous Spatial Data; Fusion, Modeling, an Giuseppe Patanè,Michela Spagnuolo Book 2016 Springer Nature Switzerland AG 2016
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
doihttps://doi.org/10.1007/978-3-031-02589-1
isbn_softcover978-3-031-01461-1
isbn_ebook978-3-031-02589-1Series ISSN 2469-4215 Series E-ISSN 2469-4223
issn_series 2469-4215
copyrightSpringer Nature Switzerland AG 2016
The information of publication is updating

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發(fā)表于 2025-3-21 23:40:24 | 只看該作者
Vibeke Skytt,Oliver Barrowclough,Tor Dokken,Giuseppe Patanè,Michela Spagnuolo time. In particular my own research has benefited from Wohlwill’s classic work on . (see ., .). His current paper adds clarity and force to these issues so here I continue my enthusiastic support of Wohlwill’s work.
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發(fā)表于 2025-3-22 05:55:35 | 只看該作者
Giuseppe Patane,Andrea Cerri,Simone Pittaluga,Silvia Biasotti,Davide Sobrero,Michela Spagnuolo,Vibekcal theory and also the methodology of scientific research. Seeing the world through the rose-colored spectacles of Popperian methodology, Andersson and Radnitzky applaud my article as an attack on Procrustean positivism and inductivism and are thus largely sympathetic. In contrast, Rozeboom sees (a
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發(fā)表于 2025-3-22 08:45:33 | 只看該作者
Giuseppe Patanè,Michela Spagnuoloibutions to the theoretical basis of two disciplines, the history of psychology and psychology as a whole. Before replying to individuals, we feel that some clarification of our position in this dialogue is in order. We are, first and foremost, historians of psychology rather than philosophers of ps
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發(fā)表于 2025-3-22 20:58:25 | 只看該作者
Spatio-temporal Data Fusion,a fusion (Sec. 1.2). Then, three different problems and partial solutions are discussed that all play an important role in different spatio-temporal data fusion processes. The first problem is the alignment of different data sets in a common coordinate system (Sec. 1.3). The second problem considers
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發(fā)表于 2025-3-23 08:43:00 | 只看該作者
Applications to Surface Approximation and Rainfall Analysis,). Second, we report on a comparison of different methods (e.g., kriging, RBF approximation and LR B-spline approximation) in the approximation of rainfall data (Sec. 4.2) and the analysis of topological changes in GIS data (Sec. 4.3).
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