 |
|
 |
|
|
|
|
|
| HAL: ujm-00404557, version 1 |
| DOI: 10.1109/TGRS.2009.2023668 |
| Detailed view |  Export this paper |
|
|
| IEEE Transactions on Geoscience and Remote Sensing 47, 11 (2009) 3774-3785 |
|
|
|
|
| Joint Regularization of Phase and Amplitude of InSAR Data: Application to 3-D reconstruction |
|
|
| Loïc Denis 1, 2Florence Tupin 1 |
|
|
| (2009-11) |
|
|
|
| Interferometric SAR images suffer from a strong noise and their regularization is often a prerequisite for successful use of their information. Independently of the unwrapping problem, interferometric phase denoising is a difficult task due to shadows and discontinuities. In this paper, we propose to jointly filter phase and amplitude data in a Markovian framework. The regularization term is expressed by the minimization of the total variation and may combine different information (phase, amplitude, optical data). First, a fast and approximate optimization algorithm for vectorial data is briefly presented. Then two applications are described. The first one is a direct application of this algorithm for 3D reconstruction in urban areas with Very High Resolution (VHR) images. The second one is an adaptation of this framework to the fusion of SAR and optical data. Results on aerial SAR images are presented. |
|
|
|
|
|
|
|
|
|
|
|
| 1: | Laboratoire Traitement et Communication de l'Information [Paris] (LTCI) |
|
|
|
Télécom ParisTech – CNRS : UMR5141 |
|
|
| 2: | LAboratoire Hubert Curien (LAHC) |
|
|
|
CNRS : UMR5516 – Université Jean Monnet - Saint-Etienne |
|
|
| 3: | Department of Mathematics [UCLA] |
|
|
|
University of California, Los Angeles |
|
|
|
|
|
|
|
|
|
| subject | : | Engineering Sciences/Signal and Image processing Computer Science/Signal and Image Processing |
| ujm-00404557, version 1 | |
| http://hal-ujm.ccsd.cnrs.fr/ujm-00404557 | |
| oai:hal-ujm.ccsd.cnrs.fr:ujm-00404557 | |
| From: Loïc Denis | |
| Submitted on: Thursday, 16 July 2009 15:42:33 | |
| Updated on: Tuesday, 27 October 2009 10:52:04 | |
