Geomorphological feature extraction from a digital elevation model through fuzzy knowledge-based classification

Demetre P. Argialas; Angelos Tzotsos

doi:10.1117/12.463279

14 March 2003 Geomorphological feature extraction from a digital elevation model through fuzzy knowledge-based classification

Demetre P. Argialas, Angelos Tzotsos

Author Affiliations +

Proceedings Volume 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II; (2003) https://doi.org/10.1117/12.463279
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

The objective of this research was the investigation of advanced image analysis methods for geomorphological mapping. Methods employed included multiresolution segmentation of the Digital Elevation Model (DEM) GTOPO30 and fuzzy knowledge based classification of the segmented DEM into three geomorphological classes: mountain ranges, piedmonts and basins. The study area was a segment of the Basin and Range Physiographic Province in Nevada, USA. The implementation was made in eCognition. In particular, the segmentation of GTOPO30 resulted into primitive objects. The knowledge-based classification of the primitive objects based on their elevation and shape parameters, resulted in the extraction of the geomorphological features. The resulted boundaries in comparison to those by previous studies were found satisfactory. It is concluded that geomorphological feature extraction can be carried out through fuzzy knowledge based classification as implemented in eCognition.

Citation Download Citation

Demetre P. Argialas and Angelos Tzotsos "Geomorphological feature extraction from a digital elevation model through fuzzy knowledge-based classification", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.463279

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