Title :
Wavelet analysis of AVHRR images for feature tracking
Author :
Liu, Antony K. ; Tseng, William Y. ; Chang, Steve Y S
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The Advanced Very High Resolution Radiometer (AVHRR) images collected from NOAA polar orbiting operational satellites were used in this study. The Laplacian of the Gaussian (Mexican hat) wavelet transform can be used as an edge detector to separate the high/low sea surface temperature (SST) areas from ambient water. The histogram of each satellite image is first examined for ocean feature enhancement by gray scale. The enhanced image is then wavelet transformed with various scales to separate various texture or features. The Mexican hat wavelet is used as a band-pass-filter, and its first derivative as a threshold for feature detection. Heuristic edge linking methods are used to further enhance the images. Finally, a binary image can be produced in order to reduce the data volume. By overlaying sequential binary images from different imaging time, the evolution of mesoscale features such as fronts, oil spills, and eddies can be monitored by wavelet analysis using satellite data from subsequent passes
Keywords :
feature extraction; geophysical signal processing; image enhancement; image sequences; oceanographic techniques; optical information processing; remote sensing; wavelet transforms; AVHRR image; Gaussian wavelet transform; IR imaging; Mexican hat wavelet; SST; band-pass-filter; edge detector; enhanced image; feature detection; feature extraction; feature tracking; gray scale; heuristic edge linking; image enhancement; image processing; image sequence; measurement technique; mesoscale feature; ocean; ocean feature enhancement; optical imaging; satellite remote sensing; sea surface temperature; wavelet analysis; Detectors; Image analysis; Image edge detection; Image resolution; Laplace equations; Ocean temperature; Radiometry; Satellite broadcasting; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516252
