Local Scale Measure for Remote Sensing Images

This paper addresses the problem of defining a scale measure for digital images, that is, the problem of assigning a meaningful scale information to each pixel. We propose a method relying on the set of level lines of an image, the so-called topographic map. We make use of the hierarchical structure of level lines to associate a level line to each pixel, enabling the computation of local scales. This computation is made under the assumption that blur is constant over the image, and therefore adapted to the case of satellite images. We then investigate the link between the proposed definition of local scale and recent methods relying on total variation diffusion. Eventually, we perform various experiments illustrating the spatial accuracy of the proposed approach.

[1]  M. Novaga,et al.  Explicit Solutions of the Eigenvalue Problem $div \left(\frac Du\vert Du \vert \right)=u$ in $R^2$ , 2005 .

[2]  Joachim Weickert,et al.  On Generalized Entropies and Scale-Space , 1997, Scale-Space.

[3]  Jean-Michel Morel,et al.  Image restoration involving connectedness , 1998, Other Conferences.

[4]  Bin Luo,et al.  Resolution- Independent Characteristic Scale Dedicated to Satellite Images , 2007, IEEE Transactions on Image Processing.

[5]  Lionel Moisan,et al.  Edge Detection by Helmholtz Principle , 2001, Journal of Mathematical Imaging and Vision.

[6]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[7]  Tony Lindeberg,et al.  Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.

[8]  Henri Maître,et al.  An original multi-sensor approach to scale-based image analysis for aerial and satellite images , 1997, Proceedings of International Conference on Image Processing.

[9]  Pascal Monasse,et al.  Total Variation Minimization for Scalar/Vector Regularization , 2003 .

[10]  Tony F. Chan,et al.  Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization , 2006, Multiscale Model. Simul..

[11]  Jean-Michel Morel,et al.  Topographic Maps and Local Contrast Changes in Natural Images , 1999, International Journal of Computer Vision.

[12]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[13]  Petros Maragos,et al.  Pattern Spectrum and Multiscale Shape Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  A. Chambolle,et al.  Uniqueness of the Cheeger set of a convex body , 2007, Pacific Journal of Mathematics.

[15]  Thomas Brox,et al.  On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs , 2004, SIAM J. Numer. Anal..

[16]  M. Novaga,et al.  The Total Variation Flow in RN , 2002 .

[17]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[18]  Thomas Brox,et al.  A TV flow based local scale estimate and its application to texture discrimination , 2006, J. Vis. Commun. Image Represent..

[19]  Philippe Salembier,et al.  Flat zones filtering, connected operators, and filters by reconstruction , 1995, IEEE Trans. Image Process..

[20]  Pascal Monasse,et al.  Fast computation of a contrast-invariant image representation , 2000, IEEE Trans. Image Process..

[21]  V. Caselles,et al.  Uniqueness of the Cheeger set of a convex body , 2009 .

[22]  M. Jagersand Saliency maps and attention selection in scale and spatial coordinates: an information theoretic approach , 1995, Proceedings of IEEE International Conference on Computer Vision.

[23]  V. Caselles,et al.  Geometric Description of Images as Topographic Maps , 2009 .

[24]  Christophe Latry,et al.  SPOT5 THR mode , 1998, Optics + Photonics.

[25]  T. Chan,et al.  Edge-preserving and scale-dependent properties of total variation regularization , 2003 .

[26]  Jon Atli Benediktsson,et al.  Classification of remote sensing images from urban areas using a fuzzy possibilistic model , 2006, IEEE Geoscience and Remote Sensing Letters.

[27]  Bin Luo,et al.  Local Scale Measure from the Topographic Map and Application to Remote Sensing Images , 2009, Multiscale Model. Simul..