Within this manuscript, a method able to extract lake shore from SAR complex data is proposed. Radar images have many advantages over optical images, such as no cloud coverage or solar illumination problem. The method models the observed scene as a Local Gaussian Markov Random Field and estimates in a Bayesian framework the so called hyperparameters. By proper thresholding such hyperparameters we can retrieve the lake shores. Exploiting SAR data from today available high resolution sensors, we can monitor lake shores with sub-meter precision. In the following, applications to two real data sets, showing the effectiveness of the method, are reported.

Lake shore extraction exploiting complex decomposition

;;
2013

Abstract

Within this manuscript, a method able to extract lake shore from SAR complex data is proposed. Radar images have many advantages over optical images, such as no cloud coverage or solar illumination problem. The method models the observed scene as a Local Gaussian Markov Random Field and estimates in a Bayesian framework the so called hyperparameters. By proper thresholding such hyperparameters we can retrieve the lake shores. Exploiting SAR data from today available high resolution sensors, we can monitor lake shores with sub-meter precision. In the following, applications to two real data sets, showing the effectiveness of the method, are reported.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/31596
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact