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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Gamba, P. Villa, A. Plaza, A. Chanussot, J. Benediktsson, J.A. | 
| Copyright Year | 2011 | 
| Description | Author affiliation: Department of Electronics, University of Pavia - Italy (Gamba, P.) || Dept. of Technology of Computers and Communications, University of Extremadura - Spain (Plaza, A.) || GIPSA-lab, Signal & Image Dept., Grenoble Institute of Technology - INPG, France (Villa, A.; Chanussot, J.) || Faculty of Electrical and Computer Engineering, University of Iceland - Iceland (Benediktsson, J.A.) | 
| Abstract | Low spatial resolution is a major limitation for remote sensing classification, especially in a urban environment. In this work, we will focus on the simulation of urban area environment at a low spatial resolution, comparable to the new hyperspectral sensors that will be launched in the next few years. The aim is to better understand the possibility offered by the new sensors, in a challenging scenario like the one represented by a highly mixed image. Particular attention is placed on the characteristics of the sensor EnMap, produced by DLR. The experiments conducted on a real data set confirm the challenges posed by low spatial resolution when analyzing a urban environment. | 
| Starting Page | 1259 | 
| Ending Page | 1262 | 
| File Size | 229690 | 
| Page Count | 4 | 
| File Format | |
| ISBN | 9781457710032 | 
| ISSN | 21537003 | 
| e-ISBN | 9781457710056 | 
| DOI | 10.1109/IGARSS.2011.6049428 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2011-07-24 | 
| Publisher Place | Canada | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Spatial resolution Hyperspectral sensors Urban areas Sensors Support vector machines | 
| Content Type | Text | 
| Resource Type | Article | 
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