スペクトル・パターン解析によるＡＳＴＥＲデータからの鉱物分類とその精度評価予測

DOI

書誌事項

タイトル別名
  • Mineral Discrimination with ASTER Data Using Spectral Pattern Analysis and Forecast of the Accuracy Evaluation.

抄録

Alteration mineral discrimination is important for natural resources exploration. Spectral patternanalysis is useful for altered mineral discrimination. This analysis is composed of Gray Scale Log Residual (GSLR) method and Spectral Pattern Index (SPI). These technique have the advantage that the processed results can be easily interpreted by a geologist for the purpose of altered mineral discrimination.<BR>The simulation for mineral separation was proccessed with spectral library (NASA/JPL) and ASTER simulation data from AVIRIS data of Cuprite, Nevada, using spectral pattern analysis. Mineral discrimination of ASTER data was discussed using degree of separation as standard.<BR>SPI image using SWIR Bands of ASTER simulation data successfully showed each mineral alteration zone in hydrothermally altered area. Adequate band combinations and threshold of separation standard can be showed.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390282679642513792
  • NII論文ID
    130003638574
  • DOI
    10.11440/rssj1981.19.5_382
  • 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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