Forcing scale invariance in multipolarization SAR change detection

Vincenzo Carotenuto, Antonio De Maio, Carmine Clemente, John J. Soraghan, Giusi Alfano

Research output: Contribution to journalArticle

16 Citations (Scopus)
93 Downloads (Pure)

Abstract

This paper considers the problem of coherent (in the sense that both amplitudes and relative phases of the polarimetric returns are used to construct the decision statistic) multi-polarization SAR change detec- tion starting from the availability of image pairs exhibiting possible power mismatches/miscalibrations. The principle of invariance is used to characterize the class of scale-invariant decision rules which are insensitive to power mismatches and ensure the Constant False Alarm Rate (CFAR) property. A maximal invariant statistic is derived together with the induced maximal invariant in the parameter space which significantly compress the data/parameters domain. A Generalized Likelihood Ratio Test (GLRT) is synthesized both for the cases of two- and three-polarimetric channels. Interestingly, for the two-channel case, it is based on the comparison of the condition number of a data-dependent matrix with a suitable threshold. Some additional invariant decision rules are also proposed. The performance of the considered scale-invariant structures is compared to those from two non- invariant counterparts using both simulated and real radar data. The results highlight the robustness of the proposed method and the performance tradeoff involved
Original languageEnglish
Pages (from-to)36-50
Number of pages15
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume54
Issue number1
Early online date19 Aug 2015
DOIs
Publication statusPublished - 31 Jan 2016

Keywords

  • constant false alarm rate
  • power mismatches
  • miscalibration

Fingerprint Dive into the research topics of 'Forcing scale invariance in multipolarization SAR change detection'. Together they form a unique fingerprint.

Cite this