Title :
Wavelet analysis of satellite images for coastal watch
Author :
Liu, Antony K. ; Peng, Chich Y. ; Chang, Steve Y -S
Author_Institution :
Oceans & Ice Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA
fDate :
1/1/1997 12:00:00 AM
Abstract :
The two-dimensional wavelet transform is a very efficient bandpass filter, which can be used to separate various scales of processes and show their relative phase/location. In this paper, algorithms and techniques for automated detection and tracking of mesoscale features from satellite imagery employing wavelet analysis are developed. The wavelet transform has been applied to satellite images, such as those from synthetic aperture radar (SAR), advanced very-high-resolution radiometer (AVHRR), and coastal zone color scanner (CZCS) for feature extraction. The evolution of mesoscale features such as oil slicks, fronts, eddies, and ship wakes can be tracked by the wavelet analysis using satellite data from repeating paths. Several examples of the wavelet analysis applied to various satellite images demonstrate the feasibility of this technique for coastal monitoring
Keywords :
artificial satellites; feature extraction; image enhancement; oceanographic techniques; radar imaging; radiometers; remote sensing by radar; synthetic aperture radar; wakes; wavelet transforms; automated detection; bandpass filter; coastal monitoring; coastal watch; coastal zone color scanner; eddies; feature extraction; fronts; mesoscale features; oil slicks; relative phase/location; satellite images; ship wakes; tracking; two-dimensional wavelet transform; very-high-resolution radiometer; wavelet analysis; Algorithm design and analysis; Band pass filters; Image analysis; Radar detection; Radar tracking; Satellite broadcasting; Sea measurements; Watches; Wavelet analysis; Wavelet transforms;
Journal_Title :
Oceanic Engineering, IEEE Journal of
