Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach

Details Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach

Sep 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.553e..12n&link_type=abstract

Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observa

Statistics

Applications

Scientific paper

In this study, the problem of unsupervised extraction of drainage network from elevation data is addressed. A self-adaptive system and its application to the problem are described. The system incorporates variable thresholding in conjunction with an adaptive algorithm to extract the drainage network through an iterative parameter adjusting process. The algorithm and its application to DEM data are illustrated.

Affiliated with

Also associated with

No associations

Rating

Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unsupervised Extraction of Drainage Network from Digital Elevation Data: A Self-Adaptive Approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1064386