高分解能衛星シミュレーション画像を用いた建物閉領域の自動抽出手法に関する研究 A Study on Closed Region Extraction for building extraction from Simulated High Resolution Satellite Imagery

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Up to now, aerial photographs have almost been the unique data sources to be used for the purpose of urban spatial data acquisition. Recently, great attention has been paid to the emergence of high resolution satellite imagery (resolution around 1 meter) . Huge benefits may be reached if the so-called high resolution satellite data can be used as the data source for urban spatial data acquisition, especially for building related information collection. In this paper, the characteristics of high resolution satellite imagery are analyzed at first. Two practical building extraction methods are then proposed. One method aims to extract buildings with image features (edges and corners) extracted from high resolution satellite images, while the other tries to extract buildings with region growing algorithm. Experiments are carried out for testing the efficiencies of proposed two building extraction methods. Since high resolution satellite images are still not available at the moment, three different types of simulation images with different resolutions (0.5m, lm and 3m, respectively) made from aerial photographs are used in experiments.

収録刊行物

  • 写真測量とリモートセンシング  

    写真測量とリモートセンシング 37(5), 4-12, 1998-10-30 

    Japan Society of Photogrammetry and Remote Sensing

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各種コード

  • NII論文ID(NAID)
    10002050906
  • NII書誌ID(NCID)
    AN00111450
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    02855844
  • NDL 記事登録ID
    4597162
  • NDL 雑誌分類
    ZN1(科学技術--建設工学・建設業)
  • NDL 請求記号
    Z16-147
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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