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