Interest of Temporal Methods over Spatial Methods in Order to Detect Small Targets

Paillou Nathan (1) , Laetitia Thirion-Lefevre (1) , Regis Guinvarc'H (1)

1 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay

Target detection is an important part of research in SAR. However, the detection of small targets has always been complicated as most of the methods are spatial and based on the use of information from neighbouring pixels to characterise more precisely the studied pixel. In addition, data are often filtered to reduce the noise which results in an additional loss of spatial information. In the frame of small targets detection, this loss has to be avoided and to do so we propose to use temporal methods. Instead of using neighbouring pixels, one can use the different values of the pixels over time which allow not to wipe out small targets. The aim of this preliminary study is to show the advantages of temporal methods over spatial methods and to highlight the points to be further investigated in temporal methods. Promising results on intensity and entropy have been obtained.

Mots clés: SAR; Spatial; Temporal; Detection; Polarimetry; Small Targets

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

Paillou Nathan, Laetitia Thirion-Lefevre, Regis Guinvarc'H. Interest of Temporal Methods over Spatial Methods in Order to Detect Small Targets. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, France. pp.1767-1769, ⟨10.1109/IGARSS39084.2020.9324539⟩. ⟨hal-03616697⟩