Urban Footprint Processor-Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission

被引:217
作者
Esch, T. [1 ]
Marconcini, M. [1 ]
Felbier, A. [1 ]
Roth, A. [1 ]
Heldens, W. [1 ]
Huber, M. [1 ]
Schwinger, M. [1 ]
Taubenboeck, H. [1 ]
Mueller, A. [1 ]
Dech, S. [1 ]
机构
[1] German Remote Sensing Data Ctr DFD, Earth Observat Ctr, German Aerosp Ctr DLR, D-82234 Wessling, Germany
关键词
Automation; global mapping; settlements pattern; TerraSAR-X add-on for Digital Elevation Measurement TanDEM-X; texture; urbanization;
D O I
10.1109/LGRS.2013.2272953
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The German TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X) mission (TDM) collects two global data sets of very high resolution (VHR) synthetic aperture radar (SAR) images between 2011 and 2013. Such imagery provides a unique information source for the identification of built-up areas in a so far unique spatial detail. This letter presents the novel implementation of a fully automated processing system for the delineation of human settlements worldwide based on the SAR data acquired in the context of the TDM. The proposed Urban Footprint Processor (UFP) includes three main processing stages dedicated to: i) the extraction of texture information suitable for highlighting regions characterized by highly structured and heterogeneous built-up areas; ii) the generation of a binary settlement layer (built-up, non-built-up) based on an unsupervised classification scheme accounting for both the original backscattering amplitude and the extracted texture; and iii) a final post-editing and mosaicking phase aimed at providing the final Urban Footprint (UF) product for arbitrary geographical regions. Experimental results assess the high potential of the TDM data and the proposed UFP to provide highly accurate geo-data for an improved global mapping of human settlements.
引用
收藏
页码:1617 / 1621
页数:5
相关论文
共 21 条
[11]   INTERFEROMETRIC PROCESSING OF TANDEM-X DATA [J].
Fritz, T. ;
Rossi, C. ;
Yague-Martinez, N. ;
Rodriguez-Gonzalez, F. ;
Lachaise, M. ;
Breit, H. .
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, :2428-2431
[12]  
Gamba P., 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS 2012), P1, DOI 10.1109/TyWRRS.2012.6381093
[13]  
Gamba P., 2009, GLOBAL MAPPING HUMAN
[14]  
Habermeyer M., 2009, P 17 INT C GEOM FAIR
[15]   TanDEM-X: A satellite formation for high-resolution SAR interferometry [J].
Krieger, Gerhard ;
Moreira, Alberto ;
Fiedler, Hauke ;
Hajnsek, Irena ;
Werner, Marian ;
Younis, Marwan ;
Zink, Manfred .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (11) :3317-3341
[16]   DIVERGENCE MEASURES BASED ON THE SHANNON ENTROPY [J].
LIN, JH .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1991, 37 (01) :145-151
[17]   An Automated Method for Global Urban Area Mapping by Integrating ASTER Satellite Images and GIS Data [J].
Miyazaki, Hiroyuki ;
Shao, Xiaowei ;
Iwao, Koki ;
Shibasaki, Ryosuke .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (02) :1004-1019
[18]   Toward Global Automatic Built-Up Area Recognition Using Optical VHR Imagery [J].
Pesaresi, Martino ;
Ehrlich, Daniele ;
Caravaggi, Ivano ;
Kauffmann, Mayeul ;
Louvrier, Christophe .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (04) :923-934
[19]   Mapping urban areas on a global scale: which of the eight maps now available is more accurate? [J].
Potere, David ;
Schneider, Annemarie ;
Angel, Shlomo ;
Civco, Daniel L. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (24) :6531-6558
[20]   Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions' [J].
Schneider, Annemarie ;
Friedl, Mark A. ;
Potere, David .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (08) :1733-1746