論文

2013年

Basic investigation on estimation of land cover classification conforming to the ASJ RTN-model using hyperspectral imaging data

Acoustical Science and Technology
  • Yasuhiro Hiraguri
  • ,
  • Takuya Oshima
  • ,
  • Kazuma Hoshi

34
5
開始ページ
367
終了ページ
370
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1250/ast.34.367

The article presents a possible land cover classification estimation technique specialized for acoustic simulations using high-accuracy hyperspectral imaging data through a case study using a Nagaoka sample. The image was obtained by PASCO Corp. on 5 June 2004 using the Airborne Imaging Spectroradiometer for Application (AISA), which is a hyperspectral sensor with a 1m spatial resolution developed by Spectral Imaging Ltd. The image data comprise 67 bands, covering both the visible and a part of near-infrared wavelengths from 400 nm to 1,000 nm. Spectral band widths are equally spaced by 8-9 nm. The spectrum value at each picture element indicates a normalized spectral reflectance, which is calculated based on the spectral radiance of the ground surface and the sun observed simultaneously. The land cover classification that should be estimated is determined by referring to ASJ RTN-Model 2008 in the first step to discuss classification methods.

リンク情報
DOI
https://doi.org/10.1250/ast.34.367
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883720596&origin=inward
ID情報
  • DOI : 10.1250/ast.34.367
  • ISSN : 1346-3969
  • ISSN : 1347-5177
  • SCOPUS ID : 84883720596

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