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COMPARISON of TWO SIMPLIFICATION METHODS for SHORELINE EXTRACTION from DIGITAL ORTHOPHOTO IMAGES

  • B. Bayram*
  • , A. Sen
  • , M. O. Selbesoglu
  • , I. Varna
  • , P. Petersons
  • , N. O. Aykut
  • , D. Z. Seker
  • *Šī darba korespondējošais autors
  • Yildiz Technical University
  • Latvian Geospatial Information Agency
  • Istanbul Technical University

Zinātniskās darbības rezultāts: Devums žurnālamKonferences zinātniskais rakstskoleģiāli recenzēts

Kopsavilkums

The coastal ecosystems are very sensitive to external influences. Coastal resources such as sand dunes, coral reefs and mangroves has vital importance to prevent coastal erosion. Human based effects also threats the coastal areas. Therefore, the change of coastal areas should be monitored. Up-to-date, accurate shoreline information is indispensable for coastal managers and decision makers. Remote sensing and image processing techniques give a big opportunity to obtain reliable shoreline information. In the presented study, NIR bands of seven 1:5000 scaled digital orthophoto images of Riga Bay-Latvia have been used. The Object-oriented Simple Linear Clustering method has been utilized to extract shoreline of Riga Bay. Bend and Douglas-Peucker methods have been used to simplify the extracted shoreline to test the effect of both methods. Photogrammetrically digitized shoreline has been taken as reference data to compare obtained results. The accuracy assessment has been realised by Digital Shoreline Analysis tool. As a result, the achieved shoreline by the Bend method has been found closer to the extracted shoreline with Simple Linear Clustering method.

OriģinālvalodaAngļu
Lapas (no-līdz)147-151
Lapu skaits5
ŽurnālsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Sējums4
Izdevuma numurs4W4
DOIs
Publikācijas statussPublicēts - 15 nov. 2017
Pasākums4th International GeoAdvances Workshop - GeoAdvances 2017: ISPRS Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling - Safranbolu, Karabuk, Turcija
Ilgums: 14 okt. 201715 okt. 2017

ANO IAM

Šis izpildes rezultāts palīdz sasniegt šādus ANO ilgtspējīgas attīstības mērķus (IAM)

  1. 14. IAM — Dzīvība Zem Ūdens
    14. IAM — Dzīvība Zem Ūdens

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