A neural network classifier for LANDSAT image data

Sei Ichiro Kamata, Richard O. Eason, Arnulfo Perez, Eiji Kawaguchi

研究成果: Conference contribution

6 引用 (Scopus)

抜粋

There have been many new developments in neural network (NN) research, and many new applications have been studied. The classification of remotely sensed multispectral data using classical statistical methods has been worked on for several decades. Among the multispectral data, we concentrate on the LANDSAT-5 Thematic Mapper (TM) image data which has been available since 1984-Using the classical maximum likelihood approach, a category is modeled as a multivariate normal distribution; however, the distribution for LANDSAT images is unknown. It is well known that NN approaches have the ability to classify without assuming a distribution. We apply the NN approach to the classification of LANDSAT TM images in order to investigate the robustness of this approach for multi temporal data classification. We confirmed that the NN approach is effective for the classification even if the test data is taken at the different time.

元の言語English
ホスト出版物のタイトルConference B
ホスト出版物のサブタイトルPattern Recognition Methodology and Systems
出版者Institute of Electrical and Electronics Engineers Inc.
ページ573-576
ページ数4
ISBN(印刷物)0818629150
DOI
出版物ステータスPublished - 1992 1 1
イベント11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
継続期間: 1992 8 301992 9 3

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
2
ISSN(印刷物)1051-4651

Other

Other11th IAPR International Conference on Pattern Recognition, IAPR 1992
Netherlands
The Hague
期間92/8/3092/9/3

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

フィンガープリント A neural network classifier for LANDSAT image data' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Kamata, S. I., Eason, R. O., Perez, A., & Kawaguchi, E. (1992). A neural network classifier for LANDSAT image data. : Conference B: Pattern Recognition Methodology and Systems (pp. 573-576). [201843] (Proceedings - International Conference on Pattern Recognition; 巻数 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1992.201843