Paper
3 November 2010 Simulation of 3D tidal flat topography based on fractional Brownian motion
Xing Li, Wen Wu, Yunxuan Zhou, Junru Zhang
Author Affiliations +
Abstract
The intertidal zone as is one of the most dynamic areas on the earth and conducting topographic surveys is very difficult. It is particularly hard to obtain elevation information when the tidal flat is a mud flat. In this article, we selected Jiuduansha (Jiuduan Shoal) tidal flat as a test area to demonstrate a fractional Brownian motion model based tidal flat elevation estimation. The Jiuduansha is a large shoal with a large mud flat located in the Changjiang River Estuary. Two Landsat TM images and two CBERS CCD images acquired in different seasons in 2008 were processed and waterlines were extracted from images of different times according to the tidal conditions. By considering the fact that the water surface is actually a curved surface, we dissected the waterlines into waterside points and assigned an elevation value to every point through interpolation of the tidal level data taken from nearby tidal observation stations at the similar time when the satellite images were acquired. With the elevation data of the waterside points and digital sea chart depth data, a digital elevation model (DEM) was constructed using the fractional Brownian motion (fBm) model with a midpoint displacement algorithm through the Matlab toolbox. Finally, a quantitative validation of the model was completed using the 17 ground survey data positions on the tidal flat measured in November 2008. The simulation results show a good visual effect and high precision. The mean square root error is 0.155m respectively for the ground survey.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xing Li, Wen Wu, Yunxuan Zhou, and Junru Zhang "Simulation of 3D tidal flat topography based on fractional Brownian motion", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 784017 (3 November 2010); https://doi.org/10.1117/12.872839
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Fractal analysis

Earth observing sensors

Remote sensing

Motion models

Landsat

Satellites

Back to Top