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Proceedings Paper

Application of multispectral color enhancement for remote sensing
Author(s): Noriaki Hashimoto; Yuri Murakami; Masahiro Yamaguchi; Nagaaki Ohyama; Kuniaki Uto; Yukio Kosugi
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Paper Abstract

Previously, we proposed a color enhancement method, which enhances the spectral features in multispectral images without changing the average color distribution, since the natural color of the object is sometimes important. In the proposed method, a user can specify both the spectral band to extract the spectral feature and the color to be visualized, respectively. This method can visualize spectral features even if the wavelength of the specified spectral band is in non-visible range or the image has a large number of spectral bands. That is, the enhancement method is also effective for hyperspectral images which are often used in remote sensing applications. If we can find the meaningful spectral features in them, those features might be employed as novel indices. In this paper, we apply the enhancement method to hyperspectral images of rice paddy and trees. We observed the enhanced results of these images, and could find the spectral features which might be useful to discriminate different species and even the different conditions in the same species. The results showed that these features might be utilized for novel indices or other applications in remote sensing.

Paper Details

Date Published: 26 October 2011
PDF: 8 pages
Proc. SPIE 8180, Image and Signal Processing for Remote Sensing XVII, 818006 (26 October 2011); doi: 10.1117/12.898367
Show Author Affiliations
Noriaki Hashimoto, Tokyo Institute of Technology (Japan)
Yuri Murakami, Tokyo Institute of Technology (Japan)
Masahiro Yamaguchi, Tokyo Institute of Technology (Japan)
Nagaaki Ohyama, Tokyo Institute of Technology (Japan)
Kuniaki Uto, Tokyo Institute of Technology (Japan)
Yukio Kosugi, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 8180:
Image and Signal Processing for Remote Sensing XVII
Lorenzo Bruzzone, Editor(s)

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