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Modeling and monitoring urban built environment via multi-source integrated and fused remote sensing data

Brook, Anna and Ben-Dor, Eyal and Richter, Rolf (2011) Modeling and monitoring urban built environment via multi-source integrated and fused remote sensing data. International Journal of Image and Data Fusion, pp. 1-31. doi: 10.1080/19479832.2011.618469. ISSN 1947-9834.

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Official URL: http://dx.doi.org/10.1080/19479832.2011.618469


Investigation of urban built environment includes a wide range of applications that require 3-D information. New approaches are needed for near-real-time analysis of the urban environment with natural 3-D visualisation of extensive coverage. Hyperspectral remote sensing technology is a promising and powerful tool to assess quantitative classification of urban materials by exploring possible chemical/physical changes using spectral information across the VIS-NIR-SWIR spectral region. Light Detection And Ranging (LiDAR) technology offers precise information about the geometrical properties of the surfaces and can reflect the different shapes and formations in the complex urban environment. Generating a monitoring system that is based on integrative fusion of hyperspectral and LiDAR data may enlarge the application envelope of each individual technology and contribute valuable information on urban built environments and planning. A fusion process defined by a data-registration algorithm and including spectral/spatial and 3-D information is developed and presented. The proposed practical 3-D urban environment application for photogrammetric and urban planning purposes integrates the hyperspectral (spectrometer, ground camera and airborne sensor) and LiDAR data. This application may provide urban planners, civil engineers and decision-makers with tools to consider quantitative spectral information in the 3-D urban space.

Item URL in elib:https://elib.dlr.de/74476/
Document Type:Article
Title:Modeling and monitoring urban built environment via multi-source integrated and fused remote sensing data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:International Journal of Image and Data Fusion
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-31
Keywords:LiDAR, hyperspectral remote sensing, data fusion, 3-D map, 5-D database, urban environment
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Kraus, Dr. Tanja
Deposited On:24 Jan 2012 09:30
Last Modified:18 Mar 2024 12:47

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