Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

3D InSAR Phase Unwrapping Within the Compressive Sensing Framework

3D InSAR Phase Unwrapping Within the Compressive Sensing Framework
View Sample PDF
Author(s): Wajih Ben Abdallah (University of Carthage, Tunisia) and Riadh Abdelfattah (University of Carthage, Tunisia)
Copyright: 2019
Pages: 33
Source title: Environmental Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7033-2.ch035


View 3D InSAR Phase Unwrapping Within the Compressive Sensing Framework on the publisher's website for pricing and purchasing information.


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.
Body Bottom