Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping

Despite the high richness of information content provided by airborne hyperspectral data, detailed urban land-cover mapping is still a challenging task. An important topic in hyperspectral remote sensing is the issue of high dimensionality, which is commonly addressed by dimensionality reduction tec...

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Veröffentlicht in:ISPRS journal of photogrammetry and remote sensing 2014-01, Vol.87, p.166-179
Hauptverfasser: Demarchi, Luca, Canters, Frank, Cariou, Claude, Licciardi, Giorgio, Chan, Jonathan Cheung-Wai
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Sprache:eng
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