Building and road detection from large aerial imagery

Shunta Saito, Yoshimitsu Aoki

    研究成果: Conference contribution

    73 被引用数 (Scopus)


    Building and road detection from aerial imagery has many applications in a wide range of areas including urban design, real-estate management, and disaster relief. The extracting buildings and roads from aerial imagery has been performed by human experts manually, so that it has been very costly and time-consuming process. Our goal is to develop a system for automatically detecting buildings and roads directly from aerial imagery. Many attempts at automatic aerial imagery interpretation have been proposed in remote sensing literature, but much of early works use local features to classify each pixel or segment to an object label, so that these kind of approach needs some prior knowledge on object appearance or class-conditional distribution of pixel values. Furthermore, some works also need a segmentation step as pre-processing. Therefore, we use Convolutional Neural Networks(CNN) to learn mapping from raw pixel values in aerial imagery to three object labels (buildings, roads, and others), in other words, we generate three-channel maps from raw aerial imagery input. We take a patch-based semantic segmentation approach, so we firstly divide large aerial imagery into small patches and then train the CNN with those patches and corresponding three-channel map patches. Finally, we evaluate our system on a large-scale road and building detection datasets that is publicly available.

    ホスト出版物のタイトルProceedings of SPIE-IS and T Electronic Imaging - Image Processing
    ホスト出版物のサブタイトルMachine Vision Applications VIII
    編集者Kurt S. Niel, Edmund Y. Lam
    出版ステータスPublished - 2015 1月 1
    イベントImage Processing: Machine Vision Applications VIII - San Francisco, United States
    継続期間: 2015 2月 102015 2月 11


    名前Proceedings of SPIE - The International Society for Optical Engineering


    OtherImage Processing: Machine Vision Applications VIII
    国/地域United States
    CitySan Francisco

    ASJC Scopus subject areas

    • 電子材料、光学材料、および磁性材料
    • 凝縮系物理学
    • コンピュータ サイエンスの応用
    • 応用数学
    • 電子工学および電気工学


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