Urban High-Resolution Remote Sensing: Algorithms and Modeling

Urban remote sensing techniques provide critical physical input and intelligence for preparing base maps, formulating planning proposals, and monitoring implementations. 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 important roots of urban remote sensing: 3D urban modeling, urban orthophotomap generation, and urban feature extraction.

Format: Paperback / softback
Length: 344 pages
Publication date: 31 May 2023
Publisher: Taylor & Francis Ltd

As urbanization becomes a widespread phenomenon, there is a growing demand for data and information regarding these urban landscapes. Urban remote sensing techniques play a crucial role in providing essential physical input and intelligence for various tasks such as creating base maps, formulating planning proposals, and monitoring implementation progress. These methodologies also aid in understanding the biophysical characteristics, patterns, and processes of urban landscapes, as well as mapping and monitoring urban land cover and spatial extent.

Advanced sensor technologies and image processing methodologies, including deep learning and data mining, have facilitated the wide application of remote sensing technology in urban areas. This book presents advanced image processing methods and algorithms specifically tailored for three critical aspects of urban remote sensing: 3D urban modeling using diverse remotely sensed data, urban orthophotomap generation, and urban feature extraction. These areas represent current challenges in high-resolution remote sensing.

The data generated by remote sensing, with its repetitive and synoptic viewing capabilities and multispectral sensors, offers a powerful tool for mapping and monitoring emerging changes in the city's urban core and surrounding areas. Remote sensing provides a unique perspective that allows for the systematic observation and documentation of urban development, enabling researchers and policymakers to make informed decisions and implement effective strategies.

This book aims to provide advances in emerging methods and algorithms in image processing and technology. It focuses on algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter. The book emphasizes 3D urban modeling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery. It demonstrates how to apply these techniques to address the problems identified and analyze research results.

Furthermore, the book presents methods and algorithms for monitoring, analyzing, and interpreting the collected remote sensing data. It discusses the use of machine learning and data mining techniques to extract meaningful information from the data and identify patterns and trends that can inform urban planning and management.

By presenting these advanced image processing methods and algorithms, this book aims to contribute to the field of urban remote sensing and help researchers and practitioners in developing more efficient and effective approaches to urban analysis and management.

Weight: 453g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367535483