Mobile Mapping: Unlocking Spatial Intelligence with Computer Vision

· Computer Vision 98-р ном · One Billion Knowledgeable · ХОУ-аар хүүрнэгч: Maxwell (Google-с)
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What is Mobile Mapping


Mobile mapping is the process of collecting geospatial data from a mobile vehicle, typically fitted with a range of GNSS, photographic, radar, laser, LiDAR or any number of remote sensing systems. Such systems are composed of an integrated array of time synchronised navigation sensors and imaging sensors mounted on a mobile platform. The primary output from such systems include GIS data, digital maps, and georeferenced images and video.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Mobile mapping


Chapter 2: Digital elevation model


Chapter 3: Image analysis


Chapter 4: Photogrammetry


Chapter 5: Geoinformatics


Chapter 6: 3D scanning


Chapter 7: Georeferencing


Chapter 8: GDAL


Chapter 9: SOCET SET


Chapter 10: ILWIS


(II) Answering the public top questions about mobile mapping.


(III) Real world examples for the usage of mobile mapping in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Mobile Mapping.

Зохиогчийн тухай

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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