Memorias de investigación
Communications at congresses:
Influence of spatial and radiometric resolution of satellite images in scaling/multiscaling behavior.

Research Areas
  • Mathematics,
  • Processing and signal analysis

One of the sources of information on the dynamic processes in the Earth surface and atmosphere is the data provided by the Earth Observation satellites. The images provided by the satellites show the Earth in a wide range of wavelength (from the visible to the thermal infrared or the microwaves) and with a great variety of spatial resolutions (from few kilometres until less than a meter). These images of Earth surface obtained by satellites with a high resolution give much more information and its analysis is a challenging problem that requires new algorithms and methods. The main characteristic of theses images is the high local variability in the digital values registered by the sensor. The increase in spatial and/or radiometric resolution implies an increase in the complexity of the image that it is necessary to analyze. Traditional segmentation techniques for image analysis are non useful for these cases. In the present work the multifractal (MF) behaviour of multi-spectral images obtained by IKONOS- 2 and LANDSAT-7 are analyzed. Both satellites have several bands (in visible and near-infrared spectral regions) in common to observe earth surface but with different spatial resolution, 4 m with IKONOS and 30 m with LANDSAT, and radiometric resolution, 11 bits and 8 bits respectively. For each common band the MF spectrum has been calculated to determinate directly the Hölder exponents (alfa) and the singularities spectrum (f(alfa)) from box-counting algorithm. We have observed that multifractal behaviour of the information contained in each one of the four analyzed bands is influenced by spatial (pixel size) and radiometric (number of bits coding the image) resolution. Meanwhile spatial resolution has a similar effect in the four bands; radiometric resolution has a bigger influence in blue and green bands than in red and infrared bands.
EGU General Assembly 2008
Viena, Austria
Start Date
End Date
From page
To page
Geophysical Research Abstracts, Vol. 10, SRef-ID: 1607-7962/gra/EGU2008-A-06184

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Física y Mecánica Fundamentales y Aplicada a la Ingeniería Agroforestal
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Grupo de Investigación: Grupo de Sistemas Complejos