Multidimensional Analysis Method for NOAA AVHRR Images

Jun Ichi Kudoh, Yoshiaki Nemoto, Norio Shiratori, Seijiro Obata, Shoichi Noguchi

研究成果: Article査読

4 被引用数 (Scopus)


As a fundamental study of multiple image processing, the authors have developed a new technique for the analysis of multispectral remote sensing data. Though the basis of the authors' algorithm is similar to a histogram analysis, they have proposed a novel way of the representation of multidimensional image data, which facilitates a nonexpert to locate and assign different classes present in the data set. The authors' experimentation was done with NOAA satellite image data. The brightness of the received data from channels of different frequency bands are the different dimensions of the multispectral image. By using this method, the authors could successfully classify NOAA satellite data received from the northern part of Japan, and locate the plane areas as an exercise. The authors have quantitatively compared their result with official data. The authors' result was found to be only 1 percent in deviation with the official data.

ジャーナルIEEE Transactions on Geoscience and Remote Sensing
出版ステータスPublished - 1994 7月

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 地球惑星科学(全般)


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