Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest
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, sy...
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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2008-07, Vol.5 (3), p.331-335 |
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| creator | Pacifici, F. Del Frate, F. Emery, W.J. Gamba, P. Chanussot, J. |
| description | 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. |
| doi_str_mv | 10.1109/LGRS.2008.915939 |
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(IEEE) 2008</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-1df6c29d1e4969d8076bf3ec5de0319b18b558ed151e7ed4192b9fc827c1850c3</citedby><cites>FETCH-LOGICAL-c464t-1df6c29d1e4969d8076bf3ec5de0319b18b558ed151e7ed4192b9fc827c1850c3</cites><orcidid>0000-0003-4817-2875 ; 0000-0002-9576-6337</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4476092$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4476092$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-00348851$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Pacifici, F.</creatorcontrib><creatorcontrib>Del Frate, F.</creatorcontrib><creatorcontrib>Emery, W.J.</creatorcontrib><creatorcontrib>Gamba, P.</creatorcontrib><creatorcontrib>Chanussot, J.</creatorcontrib><title>Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>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. 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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive optics Algorithms Computer Science Data fusion Data integration Data mining Engineering Sciences European Remote Sensing satellite (ERS) image classification Image Processing Landsat Mapping neural networks (NNs) Optical scattering Optical sensors Optical surface waves Preprocessing Remote monitoring Remote sensing Satellites Sensor fusion Sensor phenomena and characterization Signal and Image processing Synthetic aperture radar Urban areas urban remote sensing |
| title | Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest |
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