Orthogonal polarimetric SAR processor based on signal and interference subspace models

Abstract : We develop a new SAR processor based on several orthogonal projections.We take into account the scattering properties of the target and the interferences by using subspace models. To detect the target without detecting the interferences, we process images from the orthogonal projection of the received signal into the target subspace and from the orthogonal projection of the received signal into a part of the interference subspace. We can combine these two images to firstly detect the target and to secondly reduce interference. This new SAR processor is applied to realistic simulated data for FoPen (Foliage Penetration) application.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00556975
Contributor : Anne-Hélène Picot <>
Submitted on : Tuesday, January 18, 2011 - 11:18:41 AM
Last modification on : Tuesday, May 14, 2019 - 9:36:23 AM

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Frédéric Brigui, Laetitia Thirion-Lefèvre, Guillaume Ginolhac, Philippe Forster. Orthogonal polarimetric SAR processor based on signal and interference subspace models. 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), Jul 2010, Honolulu, United States. 4 p. (CD ROM), ⟨10.1109/IGARSS.2010.5652436⟩. ⟨hal-00556975⟩

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