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LiDAR Point Cloud Data Processing and Applications

(Autor)

Buch | Hardcover
224 Seiten
2019
Productivity Press (Verlag)
978-1-4987-4375-4 (ISBN)
189,95 inkl. MwSt
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LiDAR point cloud processing are recent novel technologies able to achieve efficient 3D data acquisition, 3D modelling, and highaccuracy measurement. This book overviews the state-of-the-art industrial applications and presents original technologies in thisrapidly developing field. It represents the first comprehensive and updated book in the field.

Dr. Cheng Wang has more than 18 year experiment on computer vision R&D for remote sensing and mapping. His researchinterests include 3D point cloud and remote sensing image analysis, video enhancement, information fusion and mobile mappingdata processing. He published over 110 papers in academic journals and conferences, received 2 international paper awards, andthe Outstanding researcher Prize by major project in 863 National High-tech R&D Program.He was the PI or Co-PI of over 20 research projects and successfully led the design of many advanced computer vision systems forremote sensing and mapping, such as the commercialized ARVEE for automatic road vector extraction.Dr. Wang is also the Co-Chair of the Working Group I/3 "multi-platform multi-sensor system calibration" (2008-2012, 2012-2016) inthe International Society of Photogrammetry and Remote Sensing (ISPRS), the council member of the Chinese Society of Imageand Graphics (CSIG).

Chap 1. LiDAR Point Cloud OverviewChap 2. Point Cloud Quality EnhancementChap 4. SegmentationChap 5. RegistrationChap 6. ModelingChap 7. Object RecognitionChap 8. Point Cloud CompressingChap 9. Applications of Point Cloud Processing

Erscheint lt. Verlag 22.7.2019
Verlagsort Portland
Sprache englisch
Maße 156 x 234 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Geowissenschaften Geografie / Kartografie
Technik Elektrotechnik / Energietechnik
ISBN-10 1-4987-4375-7 / 1498743757
ISBN-13 978-1-4987-4375-4 / 9781498743754
Zustand Neuware
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