Semantic segmentation and difference extraction via time series aerial video camera and its application

S. N.K. Amit, S. Saito, S. Sasaki, Yasushi Kiyoki, Y. Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Google earth with high-resolution imagery basically takes months to process new images before online updates. It is a time consuming and slow process especially for post-disaster application. The objective of this research is to develop a fast and effective method of updating maps by detecting local differences occurred over different time series; where only region with differences will be updated. In our system, aerial images from Massachusetts's road and building open datasets, Saitama district datasets are used as input images. Semantic segmentation is then applied to input images. Semantic segmentation is a pixel-wise classification of images by implementing deep neural network technique. Deep neural network technique is implemented due to being not only efficient in learning highly discriminative image features such as road, buildings etc., but also partially robust to incomplete and poorly registered target maps. Then, aerial images which contain semantic information are stored as database in 5D world map is set as ground truth images. This system is developed to visualise multimedia data in 5 dimensions; 3 dimensions as spatial dimensions, 1 dimension as temporal dimension, and 1 dimension as degenerated dimensions of semantic and colour combination dimension. Next, ground truth images chosen from database in 5D world map and a new aerial image with same spatial information but different time series are compared via difference extraction method. The map will only update where local changes had occurred. Hence, map updating will be cheaper, faster and more effective especially post-disaster application, by leaving unchanged region and only update changed region.

本文言語English
ホスト出版物のタイトルInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
編集者G. Schreier, P. E. Skrovseth, H. Staudenrausch
出版社International Society for Photogrammetry and Remote Sensing
ページ1119-1122
ページ数4
7W3
ISBN(電子版)9780000000002, 9781629934297, 9781629935126, 9781629935201
DOI
出版ステータスPublished - 2015 4月 28
イベント2015 36th International Symposium on Remote Sensing of Environment - Berlin, Germany
継続期間: 2015 5月 112015 5月 15

出版物シリーズ

名前International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
番号7W3
40
ISSN(印刷版)1682-1750

Other

Other2015 36th International Symposium on Remote Sensing of Environment
国/地域Germany
CityBerlin
Period15/5/1115/5/15

ASJC Scopus subject areas

  • 情報システム
  • 地理、計画および開発

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