Compressive Template Matching on Multispectral Data

Sylvain Rousseau (1, 2) , David Helbert (1) , Philippe Carré (1) , Jacques Blanc-Talon (2)

1 XLIM-SIC - SIC
2 DGA - Délégation générale de l'armement

This paper adapts a new template matching and target detection algorithm in multispectral images to a compressive sensing strategy. That template matching algorithm found in [1] relies on particular properties of L1 minimization algorithms to succeed. We propose a new algorithm that is reconstructing in a single step the location of a given signature of interest bypassing the image reconstruction and the template matching algorithm on that image. For that purpose, we use a modified split Bregman algorithm with various regularizers. We conduct numerical experiments on real-world multispectral image.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Sylvain Rousseau, David Helbert, Philippe Carré, Jacques Blanc-Talon. Compressive Template Matching on Multispectral Data. International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.ID2697. ⟨hal-00798439⟩