INVESTIGADORES
DELRIEUX Claudio Augusto
artículos
Título:
Quadratic Self Correlation: An Improved Method for computing Local Fractal Dimension in Remote Sensing Imagery
Autor/es:
ANDREA SILVETTI; CLAUDIO DELRIEUX
Revista:
COMPUTERS & GEOSCIENCES
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2013 vol. 60 p. 142 - 155
ISSN:
0098-3004
Resumen:
We present a new method for computing the local fractal dimension in remote sensing imagery. It is based on an estimation of the quadratic self correlation (or 2D Hurst coefficient) of the luminance. The method is thoroughly tested with a set of synthetic images. A comparison to other local fractal dimension estimators is presented. Also, remote sensing imagery was used to assess the usefulness of the techniques for image segmentation. Quadratic self correlation methods provided more accurate results with synthetic images, and also produced more robust and fit segmentations in remote sensing imagery. Even with very small computation windows, the methods proved to be able to detect borders and minutiae precisely.
