Optical-flow-based approach for the detection of shoreline changes using remote sensing data

Majed Bouchahma, Walid Barhoumi, Wanglin Yan, Hamood Al Wardi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This research presents an automatic method to detect and evaluate the shoreline changes from Landsat satellite images. In fact, a method, that we called Lukas-Kanade Adapted for Coastal Changes (LKA2C), has been developed to calculate and detect the changes around the study region. Mainly the proposed method is based on SURF algorithm to detect the study region from the satellite image. Then, Canny edge detector was used on NDWI images to detect the shorelines. Finally, the pyramidal Lukas-Kanade optical flow algorithm was adapted to detect and to calculate the rates of changes. Realized experiments on real satellite images of the island of Djerba in Tunisia proved the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, AICCSA 2017
出版社IEEE Computer Society
ページ184-189
ページ数6
ISBN(電子版)9781538635810
DOI
出版ステータスPublished - 2018 3月 7
イベント14th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2017 - Hammamet, Tunisia
継続期間: 2017 10月 302017 11月 3

出版物シリーズ

名前Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
2017-October
ISSN(印刷版)2161-5322
ISSN(電子版)2161-5330

Other

Other14th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2017
国/地域Tunisia
CityHammamet
Period17/10/3017/11/3

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ
  • 信号処理
  • 制御およびシステム工学
  • 電子工学および電気工学

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