TY - CHAP
T1 - Very-high-resolution and interferometric SAR
T2 - Markovian and patch-based non-local mathematical models
AU - Deledalle, Charles Alban
AU - Denis, Loïc
AU - Ferraioli, Giampaolo
AU - Pascazio, Vito
AU - Schirinzi, Gilda
AU - Tupin, Florence
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This chapter is dedicated to very-high-resolution (VHR) SAR imagery, including interferometric applications. First, the principles of SAR data acquisition are presented as well as the different types of configurations. The widely adopted Gaussian complex model of fully developed speckle is described as well as more advanced statistical models for VHR SAR data that account for textures. The following two parts are devoted to SAR image estimation and to image denoising within two different frameworks. First, Markovian modeling is introduced and the associated optimization approaches are presented, including graph-cut-based optimization. The second framework is the patch-based non-local modeling of SAR complex data. Both frameworks are adapted to SAR images through the use of statistical models specific to SAR imagery. Their applications to amplitude data, interferometry, and fusion with optical data are illustrated. A special focus is given to phase unwrapping applied to single- and multi-channel interferometry, showing the usefulness of local and global contextual models.
AB - This chapter is dedicated to very-high-resolution (VHR) SAR imagery, including interferometric applications. First, the principles of SAR data acquisition are presented as well as the different types of configurations. The widely adopted Gaussian complex model of fully developed speckle is described as well as more advanced statistical models for VHR SAR data that account for textures. The following two parts are devoted to SAR image estimation and to image denoising within two different frameworks. First, Markovian modeling is introduced and the associated optimization approaches are presented, including graph-cut-based optimization. The second framework is the patch-based non-local modeling of SAR complex data. Both frameworks are adapted to SAR images through the use of statistical models specific to SAR imagery. Their applications to amplitude data, interferometry, and fusion with optical data are illustrated. A special focus is given to phase unwrapping applied to single- and multi-channel interferometry, showing the usefulness of local and global contextual models.
U2 - 10.1007/978-3-319-66330-2_4
DO - 10.1007/978-3-319-66330-2_4
M3 - Chapter
AN - SCOPUS:85063321991
T3 - Signals and Communication Technology
SP - 137
EP - 189
BT - Signals and Communication Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -