Automatic water canal detection in multispectral satellite images

Author

Gedik, Ekin ; Cinar, U. ; Karaman, Ekrem ; Yardimci, Yasemin ; Halici, Ugur ; Pakin, K. ; Ergezer, H.

Author_Institution

Enformatik Enstitusu, Orta Dogu Teknik Univ., Ankara, Turkey

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

4

Abstract

In this paper, a method for automatically detecting water regions and classifying water canals containing water in high resolution multispectral satellite images in a rule based manner is proposed. As water canals may be of different lengths and widths, indices employed in the literature and image gradients are used adaptively to classify water regions. The well known spatial properties of water canals are used to determine the water canals among the extracted water regions. The proposed algorithm is tested on high resolution multispectral satellite images covering large areas and satisfactory results are obtained.

Keywords

canals; geophysical image processing; hyperspectral imaging; image classification; image resolution; object detection; structural engineering computing; automatic water canal detection; automatical water region detection; high resolution multispectral satellite images; image gradients; water canal classification; Bridges; Irrigation; Remote sensing; Satellites; Spatial resolution; Water; high resolution satellite images; spectral index; structural analysis; water canal extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2013 21st

Conference_Location

Haspolat

Print_ISBN

978-1-4673-5562-9

Electronic_ISBN

978-1-4673-5561-2

Type

conf

DOI

10.1109/SIU.2013.6531535

Filename

6531535