- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Automated Building Detection from High-Resolution Satellite Image for Updating GIS Building Inventory Data
-
- MIURA Hiroyuki
- Graduate Student,Depertment of Built Environment, Tokyo Institute of Technology, M. Eng.
-
- MIDORIKAWA Saburoh
- Professor, Depertment of Built Environment, Tokyo Institute of Technology, Dr. Eng.
Bibliographic Information
- Other Title
-
- 建物GISデータの更新を目的とした高分解能衛星画像からの建物の自動検出手法
- タテモノ GIS データ ノ コウシン オ モクテキ ト シタ コウ ブンカイノウ エイセイ ガゾウ カラ ノ タテモノ ノ ジドウ ケンシュツ シュホウ
Search this article
Description
<p>In order to update the GIS building inventory data which is a basic data for earthquake damage assessment, a methodology for automatic detection of newly constructed buildings from a high-resolution satellite image was proposed. The IKONOS image and the existing GIS data in Yokohama city were used in this study. The image analysis was conducted utilizing the relation between the building edges and its shadow. The result shows that the regions encompassing the edges of the target buildings were extracted. We applied the proposed method to the images in the built-up area in Yokohama city in order to examine the applicability of the method. We confirmed that almost 80% of the target buildings were detected successfully.</p>
Journal
-
- Journal of Social Safety Science
-
Journal of Social Safety Science 5 (0), 37-44, 2003-11-07
Institute of Social Safety Science
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390845713026381696
-
- NII Article ID
- 110007151689
-
- NII Book ID
- AA11542656
-
- ISSN
- 21879842
- 13452088
-
- NDL BIB ID
- 6747051
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL Search
- NDL Digital Collections (NII-ELS)
- CiNii Articles
-
- Abstract License Flag
- Disallowed