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Proceedings Paper

Urban land-cover classification based on airborne hyperspectral data and field observation
Author(s): Fumio Yamazaki; Konomi Hara; Wen Liu
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Paper Abstract

Using a dataset from the 2013 IEEE data fusion contest, a basic study to classify urban land-cover was carried out. The spectral reflectance characteristics of surface materials were investigated from the airborne hyperspectral (HS) data acquired by CASI-1500 imager over Houston, Texas, USA. The HS data include 144 spectral bands in the visible to near-infrared (380 nm to 1050 nm) regions. A multispectral (MS) image acquired by WorldView-2 satellite was also introduced in order to compare it with the HS image. A field measurement in the Houston’s test site was carried out using a handheld spectroradiometer by the present authors. The reflectance of surface materials obtained by the measurement was also compared with the pseudo-reflectance of the HS data and they showed good agreement. Finally a principal component analysis was conducted for the HS and MS data and the result was discussed.

Paper Details

Date Published: 21 October 2014
PDF: 7 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440P (21 October 2014); doi: 10.1117/12.2066616
Show Author Affiliations
Fumio Yamazaki, Chiba Univ. (Japan)
Konomi Hara, Chiba Univ. (Japan)
Wen Liu, Chiba Univ. (Japan)

Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

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