Conference Papers Year : 2012

Stochastically based wet snow mapping with SAR data

Abstract

This paper proposes the new method for wet snow mapping using SAR data. It represents a modified version of the existing Nagler's mapping method, based on winter/summer image comparison, which is considered as the classic one. Instead of the existing unique threshold, a variable threshold matrix (function of the local incidence angle for each pixel) is proposed, based on dry and wet snow backscattering simulation results. The new membership decision method (with the respect to the dry/wet snow classes) is introduced. It considers the intensity ratio as a stochastical process: the probability that "the intensity ratio is smaller than the corresponding dry/wet snow determined threshold" is larger than the desired confidence level.
Fichier principal
Vignette du fichier
2331.pdf (915.42 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-00726937 , version 1 (31-08-2012)
hal-00726937 , version 2 (31-08-2012)

Identifiers

Cite

Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Jean-Philippe Ovarlez, et al.. Stochastically based wet snow mapping with SAR data. IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.4859-4862, ⟨10.1109/IGARSS.2012.6352524⟩. ⟨hal-00726937v2⟩
705 View
266 Download

Altmetric

Share

More