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Urban land use mapping using high resolution SAR data based on density analysis and contextual information.

Chen, Zhaohua and Zhang, Ying and Guindon, Bert and Esch, Thomas and Roth, Achim and Shang, Jiali (2013) Urban land use mapping using high resolution SAR data based on density analysis and contextual information. Canadian Journal of Remote Sensing, 38 (6), pp. 738-749. Taylor & Francis. ISSN 1712-7971

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Abstract

This paper presents a procedure for urban land use interpretation from a single high-resolution synthetic aperture radar (SAR) image. The approach involves two semi-automatic steps: urban extent delineation and urban land use mapping. In the first step, two general classes (urban and nonurban) are mapped using an existing method that involves analysis of speckle characteristics and intensity information. In the second step, more detailed urban land use classification is undertaken based on analysis of regional radar backscatter patterns in terms of density of dark linear features, density of bright features, and urban contextual information. Density analysis was conducted at three levels: individual building�road, urban block, and suburban commercial�industrial. Contextual information, including density, building size, and distance between buildings and parking places, was used to quantify urban morphological patterns. Tests were conducted for mapping Ottawa, Canada, using five Radarsat-2 images of different incidence angles and three TerraSAR-X images of the same incidence angles but different dates. The results show that the proposed method could be used to map five urban land uses including low-density residential, commercial�industrial, high-density urban, open land, and nonurban with accuracies in the range from 74% to 82%.

Item URL in elib:https://elib.dlr.de/87991/
Document Type:Article
Title:Urban land use mapping using high resolution SAR data based on density analysis and contextual information.
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chen, ZhaohuaCCRSUNSPECIFIED
Zhang, YingCCRSUNSPECIFIED
Guindon, BertCCRSUNSPECIFIED
Esch, ThomasDLR-DFDUNSPECIFIED
Roth, AchimDLR-DFDUNSPECIFIED
Shang, JialiCCRSUNSPECIFIED
Date:1 March 2013
Journal or Publication Title:Canadian Journal of Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:38
Page Range:pp. 738-749
Publisher:Taylor & Francis
ISSN:1712-7971
Status:Published
Keywords:Urban, SAR, texture
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Esch, Dr.rer.nat. Thomas
Deposited On:02 Feb 2014 21:13
Last Modified:31 Jul 2019 19:45

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