WAVE CELERITY ESTIMATION AND DEPTH INVERSION USING LINEAR FEATURE EXTRACTION FROM NEARSHORE VIDEO IMAGES

Title:

WAVE CELERITY ESTIMATION AND DEPTH INVERSION USING LINEAR FEATURE EXTRACTION FROM NEARSHORE VIDEO IMAGES

DOI No:

10.1142/9789812709554_0038

Source:

COASTAL ENGINEERING 2006 (pp 438-450)

Author(s):

Jeseon Yoo
Civil & Environmental Engineering, Georgia Tech - Savannah, 210 Technology Circle, Savannah, GA, 31407, U.S.A.
Hermann Fritz
Civil & Environmental Engineering, Georgia Tech - Savannah, 210 Technology Circle, Savannah, GA, 31407, U.S.A.
Kevin Haas
Civil & Environmental Engineering, Georgia Tech - Savannah, 210 Technology Circle, Savannah, GA, 31407, U.S.A.
Paul Work
Civil & Environmental Engineering, Georgia Tech - Savannah, 210 Technology Circle, Savannah, GA, 31407, U.S.A.
Christopher Barnes
Electrical & Computer Engineering, Georgia Tech - Savannah, 210 Technology Circle, Savannah, GA, 31407, U.S.A.

Abstract:

A remote sensing technique was developed to measure wave celerity in the nearshore and inversely estimate water depth using linear feature extraction from video imagery. Linear feature extraction of wave crest signatures involves image frame differencing and post-processing techniques to remove persistent foam in the wave breaking zone. Each wave crest track extracted from the processed image cross-shore timestack is used to calculate wave celerity and obtain the wave breaking point. For the nonlinear depth inversion, wave height and water depth at the breaking point of each wave is estimated by associating the nonlinear shallow water equation based phase speed with wave breaker formulas. In addition, the amplitude dispersion effects after the wave breaking are computed from Dally's wave dissipation model, and subtracted from the celerity profiles to calculate water depths inversely. The results of the determined beach profiles are compared to in-situ field measurements.

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