Title :
Model-based enhancement of internal wave images
Author :
Candy, James V. ; Chambers, David H.
Author_Institution :
Lawrence Livermore Nat. Lab., California Univ., Livermore, CA, USA
fDate :
1/1/1997 12:00:00 AM
Abstract :
The measurement of internal-wave signatures using synthetic aperture radar (SAR) or real aperture radar (RAR) techniques is an emerging technology that offers a viable means of locating and tracking surface ship wakes by their unique signatures. Under the assumption that the image measured by the radar is dominated by the underlying dynamics of the internal wave, we develop model-based techniques for enhancement based on a recently developed generic dispersive-wave processor. Using images synthesized by a sophisticated propagation model, it is shown that the processor not only offers a unique approach compared to the more traditional image-processing techniques that do not incorporate the propagation model, but is also capable of providing reasonable enhancement of the noisy measurements
Keywords :
Kalman filters; filtering theory; image enhancement; oceanographic techniques; radar imaging; ships; synthetic aperture radar; wakes; Kalman filtering; SAR; generic dispersive-wave processor; image-processing; internal wave images; internal waves; internal-wave signatures; model based processor; noisy measurements; propagation model; signal processing; synthetic aperture radar; Acoustic propagation; Dispersion; Oceans; Radar imaging; Radar measurements; Sea measurements; Sea surface; Spaceborne radar; Surface waves; Synthetic aperture radar;
Journal_Title :
Oceanic Engineering, IEEE Journal of