COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION

Abstract : In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal-ujm.archives-ouvertes.fr/ujm-01219134
Contributor : Loïc Denis <>
Submitted on : Thursday, October 22, 2015 - 10:04:27 AM
Last modification on : Friday, June 7, 2019 - 11:18:37 AM
Long-term archiving on : Thursday, April 27, 2017 - 2:48:24 PM

File

Final_NL_Phu.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : ujm-01219134, version 1

Citation

Charles-Alban Deledalle, Loïc Denis, Giampaolo Ferraioli, Florence Tupin. COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION. Geoscience and Remote Sensing Symposium (IGARSS), Jul 2015, Milan, Italy. ⟨ujm-01219134⟩

Share

Metrics

Record views

317

Files downloads

463