Urban High-Resolution Remote Sensing: Algorithms and Modeling Contributor(s): Zhou, Guoqing (Author) |
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ISBN: 0367857502 ISBN-13: 9780367857509 Publisher: CRC Press OUR PRICE: $190.00 Product Type: Hardcover - Other Formats Published: December 2020 |
Additional Information |
BISAC Categories: - Technology & Engineering | Remote Sensing & Geographic Information Systems - Science | Earth Sciences - Geography - Technology & Engineering | Signals & Signal Processing |
Physical Information: 0.9" H x 7" W x 10.2" (1.76 lbs) 344 pages |
Descriptions, Reviews, Etc. |
Publisher Description: With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques provide critical physical input and intelligence for preparing base maps, formulating planning proposals, and monitoring implementations. Likewise these methodologies help with understanding the biophysical properties, patterns, and process of urban landscapes, as well as mapping and monitoring urban land cover and spatial extent. Advanced sensor technologies and image processing methodologies such as deep learning, data mining, etc., facilitate the wide applications of remote sensing technology in urban areas. This book presents advanced image processing methods and algorithms focused on three very important roots of urban remote sensing: 3D urban modelling using different remotely sensed data, urban orthophotomap generation, and urban feature extraction, which are also today's real challenges in high resolution remote sensing. Data generated by remote sensing, with its repetitive and synoptic viewing and multispectral capabilities, constitutes a powerful tool for mapping and monitoring emerging changes in the city's urban core, as well as in peripheral areas. Features:
In this book, readers are provided with valuable research studies and applications-oriented chapters in areas such as urban trees, soil moisture mapping, city transportation, urban remote sensing big data, etc. |