SAR tomography [1,2] allows accessing 3D information on the investigated scenario by constructing a synthetic aperture transverse to the flight direction by exploiting several passes of the same sensor over the same scene or using sensors constellations working simultaneously. Indeed, the amount of information that can be acquired in the height direction is limited by the difficulties and costs of realizing many passes of the same sensor on the same scene, including the effects of temporal decorrelation, or alternatively of implementing constellations of several sensors. Operating with “few” acquisitions requires defining the measurement constellation maximizing the collected information, given some knowledge on the scene of interest. This problem, which arises to be crucial in defining the actual potentialities of SAR tomography, has been generally overlooked until very recently [3-6]. In particular, in [3,4], it has been shown how, by properly exploiting the available a priori information through an appropriate representation of the problem unknowns and by a suitable optimization of the measurement constellation, the number of required acquisitions can be reduced. The purpose of this paper is to extend the technique in [3,4] so that the number and the (generally irregular) positions of the tracks to be flown can be flexibly linked both to the a priori information on the investigated scenario, and to the information one is actually interested to extract about the scene at hand. This includes the possibility to handling the number and positions of the tracks as a function of desired degree of resolution/multiresolution [7]. To this end, the reflectivity distribution of the scene is represented by prolate spheroidal wave functions, properly filtered to a desired resolution limit [7], and the measurement constellation is designed in terms of track number and positions, by a singular value optimization procedure [8]. A numerical analysis shows the potentialities of the technique.
Resolution Control for SAR Tomography with Optimized Track Distribution / Capozzoli, Amedeo; Curcio, Claudio; Liseno, Angelo. - (2012), pp. 375-375. (Intervento presentato al convegno Progress in Electromagnetic Research Symposium 2012 tenutosi a Moscow, Russian Federation nel Aug. 19-23, 2012).
Resolution Control for SAR Tomography with Optimized Track Distribution
CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;LISENO, ANGELO
2012
Abstract
SAR tomography [1,2] allows accessing 3D information on the investigated scenario by constructing a synthetic aperture transverse to the flight direction by exploiting several passes of the same sensor over the same scene or using sensors constellations working simultaneously. Indeed, the amount of information that can be acquired in the height direction is limited by the difficulties and costs of realizing many passes of the same sensor on the same scene, including the effects of temporal decorrelation, or alternatively of implementing constellations of several sensors. Operating with “few” acquisitions requires defining the measurement constellation maximizing the collected information, given some knowledge on the scene of interest. This problem, which arises to be crucial in defining the actual potentialities of SAR tomography, has been generally overlooked until very recently [3-6]. In particular, in [3,4], it has been shown how, by properly exploiting the available a priori information through an appropriate representation of the problem unknowns and by a suitable optimization of the measurement constellation, the number of required acquisitions can be reduced. The purpose of this paper is to extend the technique in [3,4] so that the number and the (generally irregular) positions of the tracks to be flown can be flexibly linked both to the a priori information on the investigated scenario, and to the information one is actually interested to extract about the scene at hand. This includes the possibility to handling the number and positions of the tracks as a function of desired degree of resolution/multiresolution [7]. To this end, the reflectivity distribution of the scene is represented by prolate spheroidal wave functions, properly filtered to a desired resolution limit [7], and the measurement constellation is designed in terms of track number and positions, by a singular value optimization procedure [8]. A numerical analysis shows the potentialities of the technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
