Title
Ocean thermal feature recognition, discrimination, and tracking using infrared satellite imagery
Abstract
A method for quantitatively measuring ocean surface movement, using sequential 10.8-μm-band AVHRR images, is presented. An ordered statistical edge detection algorithm is used to select ocean thermal pattern features by detecting and mapping gradients and at the same time discriminating between the water surface, land, and clouds. Use of edge detection to select features in this manner reduces the need to perform preprocess screening and masking to remove clouds and land. A constrained correlation based feature recognition scheme is then used to find the best match to the pattern feature in a subsequent image. Surface displacement direction and distance are calculated for each selected point with average period velocity being computed based on elapsed time
Year
DOI
Venue
1992
10.1109/36.175339
Geoscience and Remote Sensing, IEEE Transactions  
Keywords
Field
DocType
edge detection,feature extraction,oceanographic techniques,remote sensing,10.8 micron,IR method,circulation,computer method,discrimination,far infrared radiometry,feature extraction,geophysics,imaging,infrared satellite imagery,measurement,ocean surface movement,ocean thermal pattern features,ordered statistical edge detection algorithm,pattern recognition,remote sensing,technique,temperature,thermal feature recognition,tracking
Satellite imagery,Thermal,Sea surface temperature,Masking (art),Edge detection,Remote sensing,Feature recognition,Feature extraction,Flow velocity,Mathematics
Journal
Volume
Issue
ISSN
30
5
0196-2892
Citations 
PageRank 
References 
6
1.40
1
Authors
3
Name
Order
Citations
PageRank
James A. Holland II161.40
Xiao-Hai Yan2207.36
Holland, J.A., II361.40