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 Classification of Categories on Remote Sensing Multispectral Image Data by the Angular Distribution in the Feature Space

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抄録

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.

収録刊行物

  • 日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan

    日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan 16(1), 59-67, 1996-03-30

    The Remote Sensing Society of Japan

参考文献:  10件中 1-10件 を表示

被引用文献:  1件中 1-1件 を表示

各種コード

  • NII論文ID(NAID)
    10003789287
  • NII書誌ID(NCID)
    AN10035665
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    02897911
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
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