DocumentCode :
1122342
Title :
Resolution- Independent Characteristic Scale Dedicated to Satellite Images
Author :
Luo, Bin ; Aujol, Jean-François ; Gousseau, Yann ; Ladjal, Saïd ; Maître, Henri
Author_Institution :
GET/Telecom Paris, Paris
Volume :
16
Issue :
10
fYear :
2007
Firstpage :
2503
Lastpage :
2514
Abstract :
We study the problem of finding the characteristic scale of a given satellite image. This feature is defined so that it does not depend on the spatial resolution of the image. This is a different problem than achieving scale invariance, as often studied in the literature. Our approach is based on the use of a linear scale space and the total variation (TV). The critical scale is defined as the one at which the normalized TV reaches its maximum. It is shown experimentally, both on synthetic and real data, that the computed characteristic scale is resolution independent.
Keywords :
image resolution; image resolution; linear scale space; satellite images; Differential equations; Digital images; Image resolution; Morphology; Performance analysis; Remote sensing; Satellite broadcasting; Spatial resolution; TV; Wavelet analysis; Characteristic scale; linear scale space; resolution independence; satellite image; total variation; Algorithms; Artificial Intelligence; Environmental Monitoring; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Spacecraft;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2007.906004
Filename :
4303147
Link To Document :
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