000 | 04306nam a22005055i 4500 | ||
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001 | 978-3-031-02589-1 | ||
003 | DE-He213 | ||
005 | 20240730163530.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2016 sz | s |||| 0|eng d | ||
020 |
_a9783031025891 _9978-3-031-02589-1 |
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024 | 7 |
_a10.1007/978-3-031-02589-1 _2doi |
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050 | 4 | _aQA1-939 | |
072 | 7 |
_aPB _2bicssc |
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_aMAT000000 _2bisacsh |
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072 | 7 |
_aPB _2thema |
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082 | 0 | 4 |
_a510 _223 |
100 | 1 |
_aPatanè, Giuseppe. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979072 |
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245 | 1 | 0 |
_aHeterogeneous Spatial Data _h[electronic resource] : _bFusion, Modeling, and Analysis for GIS Applications / _cby Giuseppe Patanè, Michela Spagnuolo. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXXV, 129 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging, _x2469-4223 |
|
505 | 0 | _aList of Figures -- List of Tables -- Preface -- Acknowledgments -- Spatio-temporal Data Fusion -- Spatial and Environmental Data Approximation -- Feature Extraction -- Applications to Surface Approximation and Rainfall Analysis -- Conclusions -- Bibliography -- Authors' Biographies. | |
520 | _aNew 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 to support better management of societal challenges through more timely and better decision making, independent of a specific data modeling paradigm (e.g., 2D vector data, regular grids or 3D point clouds). We also show how current research is developing from the traditional layered approach, adopted by most GIS softwares, to intelligent methods for integrating existing data sets that might contain important information on a geographical area and environmental phenomenon. These services combine traditional map-oriented visualization with fully 3D visual decision support methods and exploit semantics-oriented information (e.g., a-priori knowledge, annotations, segmentations) when processing, merging, and integrating big pre-existing data sets. | ||
650 | 0 |
_aMathematics. _911584 |
|
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _979073 |
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650 | 1 | 4 |
_aMathematics. _911584 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
700 | 1 |
_aSpagnuolo, Michela. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979074 |
|
710 | 2 |
_aSpringerLink (Online service) _979075 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031014611 |
776 | 0 | 8 |
_iPrinted edition: _z9783031037177 |
830 | 0 |
_aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging, _x2469-4223 _979076 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02589-1 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
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