The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
3D InSAR Phase Unwrapping Within the Compressive Sensing Framework
Abstract
This chapter presents a new phase unwrapping algorithm for the 3D Interferometric Synthetic Aperture Radar (3D InSAR) volumes. The proposed approach is based on the relationship between the gradient vectors of the observed wrapped phase and the true phase respectively, when the Itoh condition is satisfied. Since this relationship is violated by the residue pixels in the observed wrapped phase, a general problem formulation which takes into account the estimation error due to these residue values is proposed. This approach exploits the temporal inter correlation between the interferometric frames within a compressive sensing framework. The 3D discrete curvelet transform is used in order to ensure a suitable sparse representation of the phase volume. The performance of the proposed 3D phase unwrapping algorithm is tested on simulated and real SAR 3D datasets
Related Content
|
Hendra Wijaya, Zaekhan Zaekhan, Lukman Junaidi, Ning Ima Arie Wardayanie, Yuliasri Ramadhani Meutia, Nona Widharosa, Tita Rosita.
© 2023.
20 pages.
|
|
Sufiati Bintanah, Yuliana Noor Setiawati Ulvie, Hapsari Sulistya Kusuma, Firdananda Fikri Jauharany, Hersanti Sulistyaningrum.
© 2023.
20 pages.
|
|
Diana Nur Afifah, Syafira Noor Pratiwi, Ahmad Ni'matullah Al-Baarri, Denny Nugroho Sugianto.
© 2023.
21 pages.
|
|
Maria Belgis, Nur Fathonah Sadek, Ardiyan Dwi Masahid, Dian Purbasari, Dyah Ayu Savitri.
© 2023.
18 pages.
|
|
Sri Mulyani, Yoyok Budi Pramono, Isti Handayani.
© 2023.
22 pages.
|
|
Dessy Ariyanti, Aprilina Purbasari, Dina Lesdantina, Filicia Wicaksana, Wei Gao.
© 2023.
15 pages.
|
|
Uyi Sulaeman, Ahmad Zuhairi Abdullah, Shu Yin.
© 2023.
19 pages.
|
|
|