Paper
13 March 2003 Extraction of tidal channel networks from airborne scanning laser altimetry and aerial photography
David C. Mason, Hai-Jing Wang, Bharat Lohani
Author Affiliations +
Proceedings Volume 4885, Image and Signal Processing for Remote Sensing VIII; (2003) https://doi.org/10.1117/12.463200
Event: International Symposium on Remote Sensing, 2002, Crete, Greece
Abstract
The study of the morphodynamics of tidal channel networks is important because of their role in tidal propagation and the evolution of salt-marshes and tidal flats. Channel dimensions range from tens of meters wide and meters deep near the low water mark to only 20-30cm wide and 20cm deep for the smallest channels on the marshes. The conventional method of measuring the networks is cumbersome, involving manual digitizing of aerial photographs. This paper describes a semi-automatic knowledge-based network extraction method that is being implemented to work using airborne scanning laser altimetery. The channels exhibit a width variation of several orders of magnitude, making an approach based on multi-scale line detection difficult. The processing therefore uses multi-scale edge detection to detect channel edges, then associates adjacent anti-parallel edges together to form channels uing a distance-with-destination transform. Breaks in the networks are repaired by extending channel ends in the direction of their ends to join with nearby channels, using domain knowledge that flow paths should proceed downhill and that nay network fragment should be joined to a nearby fragment so as to connect eventually to the open sea.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David C. Mason, Hai-Jing Wang, and Bharat Lohani "Extraction of tidal channel networks from airborne scanning laser altimetry and aerial photography", Proc. SPIE 4885, Image and Signal Processing for Remote Sensing VIII, (13 March 2003); https://doi.org/10.1117/12.463200
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
LIDAR

Photography

Edge detection

Airborne laser technology

Sensors

Vegetation

Floods

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