MERGING AIRBORNE LIDAR DATA AND SATELLITE SAR DATA FOR BUILDING CLASSIFICATION

T. Yamamoto, Masafumi Nakagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A frequent map revision is required in GIS applications, such as disaster prevention and urban planning. In general, airborne photogrammetry and LIDAR measurements are applied to geometrical data acquisition for automated map generation and revision. However, attribute data acquisition and classification depend on manual editing works including ground surveys. In general, airborne photogrammetry and LiDAR measurements are applied to geometrical data acquisition for automated map generation and revision. However, these approaches classify geometrical attributes. Moreover, ground survey and manual editing works are finally required in attribute data classification. On the other hand, although geometrical data extraction is difficult, SAR data have a possibility to automate the attribute data acquisition and classification. The SAR data represent microwave reflections on various surfaces of ground and buildings. There are many researches related to monitoring activities of disaster, vegetation, and urban. Moreover, we have an opportunity to acquire higher resolution data in urban areas with new sensors, such as ALOS2 PALSAR2. Therefore, in this study, we focus on an integration of airborne LIDAR data and satellite SAR data for building extraction and classification.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherInternational Society for Photogrammetry and Remote Sensing
Pages227-232
Number of pages6
Volume40
Edition4W5
DOIs
Publication statusPublished - 2015 May 11
EventISPRS WG IV/7 and WG V/4 Joint Workshop on Indoor-Outdoor Seamless Modelling, Mapping and Navigation - Tokyo, Japan
Duration: 2015 May 212015 May 22

Other

OtherISPRS WG IV/7 and WG V/4 Joint Workshop on Indoor-Outdoor Seamless Modelling, Mapping and Navigation
CountryJapan
CityTokyo
Period15/5/2115/5/22

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Keywords

  • Airborne LiDAR
  • Building Classification
  • Building Extraction
  • Data Fusion
  • Satellite SAR
  • Urban Sensing

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

Cite this

Yamamoto, T., & Nakagawa, M. (2015). MERGING AIRBORNE LIDAR DATA AND SATELLITE SAR DATA FOR BUILDING CLASSIFICATION. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (4W5 ed., Vol. 40, pp. 227-232). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-4-W5-227-2015