Urban mapping using coarse SAR and optical data: Outcome of the 2007 GRSS data fusion contest

被引：96

作者：

Pacifici, Fabio ^{[1
]}

Del Frate, Fabio ^{[1
]}

Emery, William J. ^{[2
]}

Gamba, Paolo ^{[3
]}

Chanussot, Jocelyn ^{[4
]}

机构：

[1] Univ Roma Tor Vergata, Dept Comp Sci Syst & Prod, I-00133 Rome, Italy

[2] Univ Colorado, Dept Aerosp Engn Sci, Boulder, CO 80309 USA

[3] Univ Pavia, Dipartimento Elettron, I-27100 Pavia, Italy

[4] Grenoble Inst Technol, GIPSA Lab, F-38000 Grenoble, France

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2008年 / 5卷 / 03期

关键词：

data fusion; European Remote Sensing satellite (ERS); image classification; Landsat; neural networks (NNs); urban remote sensing;

D O I：

10.1109/LGRS.2008.915939

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 2007 Data Fusion Contest that was organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee was dealing with the extraction of a land use/land cover maps in and around an urban area, exploiting multitemporal and multisource coarse-resolution data sets. In particular, synthetic aperture radar and optical data from satellite sensors were considered. Excellent indicators for mapping accuracy were obtained by the top teams. The best algorithm is based on a neural classification enhanced by preprocessing and postprocessing steps.

引用

页码：331 / 335

页数：5

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