Watershed-based image segmentation: an effective tool for detecting landscape structure

Milos Sramek; Thomas Wrbka

doi:10.1117/12.301372

1 February 1998 Watershed-based image segmentation: an effective tool for detecting landscape structure

Milos Sramek, Thomas Wrbka

Proceedings Volume 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences; (1998) https://doi.org/10.1117/12.301372
Event: Sixth International Workshop on Digital Image Processing and Computer Graphics, 1997, Vienna, Austria

Abstract

Satellite image segmentation with the aim to detect spatial units having an ecological meaning has become an important field in methodological research in modern landscape ecology. Within the theoretical framework, elaborated in, a landscape can be defined as spatial arrangement of ecosystems. Regions, that are more or less homogeneous in that sense, become more and more important as land units for physical-planning purposes. Such spatial objects can of course differ in size, in Central Europe they usually can be eliminated at the scale of some square kilometers. Therefore such objects should be detectable on satellite images and can then be ecologically characterized by their most important features: structure, function and change. Elaborating operational procedures to do that for the Austrian territory is the aim of a multidisciplinary research project called SINUS (structural features of landscapes as indicators for sustainable land use), which is financed by the Austrian Ministry for Science and Transportation and will be finished in 1999. This article can be regarded as one methodological output of this project.

Citation Download Citation

Milos Sramek and Thomas Wrbka "Watershed-based image segmentation: an effective tool for detecting landscape structure", Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); https://doi.org/10.1117/12.301372

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available