Singularity analysis with wavelets in polarimetric SAR imagery for vegetation mapping applications

• Published in: IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293) Vol. 5; pp. 2452 - 2454 vol.5
• Main Authors: De Grandi, G.F., Lee, J.S., Schuler, D., Simard, M., Sgrenzaroli, M., Kattenborn, G., Holecz, F., Pasquali, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1999
• Subjects: Electromagnetic wave polarization; Fractals; Image analysis; Multiresolution analysis; Remote sensing; Signal analysis; Space technology; Stochastic processes; Vegetation mapping; Wavelet analysis
• ISBN: 0780352076; 9780780352070
• DOI: 10.1109/IGARSS.1999.771540

Singularity and non-stationarity in images, such as edges and contours in the deterministic case, or fractal processes in the stochastic case, carry important thematic information. In particular we are interested in the evolution of structures with scale and polarization state in SAR images for land applications. We propose a technique to extract this type of information based on a multi-resolution analysis (MRA) using wavelets. The MRA is extended to include the wave polarization state as an additional dimension. Examples of the technique's application are reported and the main lines along which this research is developing in our laboratories is discussed.