Rapid development of remote sensing technology in recent years
has greatly increased availability of high-resolution satellite
image data. However, detailed analysis of such large data sets also
requires innovative new techniques in image and signal
processing.
This important text/reference presents a comprehensive review of
image processing methods, for the analysis of land use in
residential areas. Combining a theoretical framework with highly
practical applications, making use of both well-known methods and
cutting-edge techniques in computer vision, the book describes a
system for the effective detection of single houses and streets in
very high resolution.
Topics and features: with a Foreword by Prof. Dr. Peter Reinartz
of the German Aerospace Center; provides end-of-chapter summaries
and review questions; presents a detailed review on remote sensing
satellites; examines the multispectral information that can be
obtained from satellite images, with a focus on vegetation and
shadow-water indices; investigates methods for land-use
classification, introducing precise graph theoretical measures over
panchromatic images; addresses the problem of detecting residential
regions; describes a house and street network-detection subsystem;
concludes with a summary of the key ideas covered in the book.
This pioneering work on automated satellite and aerial
image-understanding systems will be of great interest to
researchers in both remote sensing and computer vision,
highlighting the benefit of interdisciplinary collaboration between
the two communities. Urban planners and policy makers will also
find considerable value in the proposed system."
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