Wavelet analysis of satellite images for coastal monitoring

Author

Liu, Antony K. ; Wu, Sunny Y. ; Tseng, William Y.

Author_Institution

NASA Goddard Space Flight Center, Greenbelt, MD, USA

Volume

4

fYear

1997

fDate

3-8 Aug 1997

Firstpage

1441

Abstract

Algorithms and techniques for automated detection and tracking of mesoscale features from satellite imagery employing wavelet analysis are presented. 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 and Special Sensor Microwave/Imager (SSM/I) data for sea ice drift. The evolution of mesoscale features such as oil slicks, fronts, eddies, and ice floes/textures can be tracked by the wavelet analysis using satellite data from repeating paths

Keywords

feature extraction; geophysical signal processing; image processing; oceanographic techniques; remote sensing; remote sensing by radar; synthetic aperture radar; wavelet transforms; algorithm; automated detection; coastal monitoring; dynamics; feature extraction; front; ice floe; image processing; measurement technique; mesoscale eddy; mesoscale feature; ocean; optical imaging; remote sensing; satellite image; sea coast; sea ice; synthetic aperture radar; wavelet analysis; wavelet transform; Algorithm design and analysis; Image analysis; Monitoring; Radar detection; Radar tracking; Satellite broadcasting; Sea measurements; Synthetic aperture radar; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.608887

Filename

608887