リモートセンシング多重分光画像の特徴空間上の角度分布を利用したカテゴリー分類

DOI 被引用文献1件 参考文献10件

書誌事項

タイトル別名
  • Classification of Categories on Remote Sensing Multispectral Image Data by the Angular Distribution in the Feature Space.

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説明

Classification of remote sensing multispectral data empolying the angular distribution of the data in the feature space is proposed. Several types of the classifiers are tested. The best one also involves radial coordinate. Their reliability stems from the assumption that same ratios of reflectances of remotely sensed data strongly imply that reflectances are actually same. Data whose ratios of reflectances are same are on the same line. They belong to the same category, if the assumption is definite. The line passes near the origin of the feature space, however, not exactly on the origin. It is due to the offsets of the data, which must be carefully handled in our method.

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詳細情報 詳細情報について

  • CRID
    1390282679642412032
  • NII論文ID
    10003789287
  • NII書誌ID
    AN10035665
  • DOI
    10.11440/rssj1981.16.59
  • ISSN
    18831184
    02897911
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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