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

12 Citations (Scopus)

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
LanguageEnglish
Pages36-50
Number of pages15
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume54
Issue number1
Early online date19 Aug 2015
DOIs
Publication statusPublished - 1 Jan 2016

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Invariance
synthetic aperture radar
Statistics
Radar
Availability
Polarization
polarization
radar
matrix
decision
detection
statistics
parameter

Keywords

  • constant false alarm rate
  • power mismatches
  • miscalibration

Cite this

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Forcing scale invariance in multipolarization SAR change detection. / Carotenuto, Vincenzo; De Maio, Antonio; Clemente, Carmine; Soraghan, John J.; Alfano, Giusi.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 1, 01.01.2016, p. 36-50.

Research output: Contribution to journalArticle

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