title: Resolution-independent characteristic scale dedicated to satellite images.
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.
authors.affiliation: CMLA, ENS Cachan, CNRS, PRES UniverSud, F-94230 Cachan, France.
authors.forename: Bin
authors.initials: B
authors.lastname: Luo
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Aujol
authors.forename: Yann
authors.initials: Y
authors.lastname: Gousseau
authors.forename: Saïd
authors.initials: S
authors.lastname: Ladjal
authors.forename: Henri
authors.initials: H
authors.lastname: Maître
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004784:Environmental Monitoring / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018531:Spacecraft