Automatic Building Extraction with Multi-sensor Data Using Rule-based Classification

Uzar M.

EUROPEAN JOURNAL OF REMOTE SENSING, cilt.47, ss.1-18, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47
  • Basım Tarihi: 2014
  • Doi Numarası: 10.5721/eujrs20144701
  • Dergi Adı: EUROPEAN JOURNAL OF REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1-18
  • Anahtar Kelimeler: LiDAR, intensity, building extraction, segmentation, rule-based classification, fuzzy logic, LIDAR DATA, FUSION, IMAGERY
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

This paper presents a new approach for automatic building extraction using a rule-based classification method with a multi-sensor system that includes light detection and ranging (LiDAR), a digital camera, and a GPS/IMU positioned on the same platform. The LiDAR data (elevation and intensity) and ortho-image are used to develop a rule set defined by parameter analyses during the segmentation and fuzzy classification processes to improve the building extraction results. The proposed approach was tested using the data derived from a multi-sensor system in Sivas, Turkey. Moreover, analyses of completeness (81.71%) and correctness (87.64%) were performed by automatic comparison of the extracted buildings and reference data.