Gridless GLRT for Tomographic SAR Detection Using Particle Swarm Optimization Algorithm

The detection of multiple scatterers within each resolution cell is an open research subject in synthetic aperture radar (SAR) tomography (TomoSAR). For over a decade, the generalized likelihood ratio test (GLRT) detector has been implemented along with its variants, allowing the generation of heigh...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 21; S. 1 - 5
Hauptverfasser:	Haddad, Nabil, Budillon, Alessandra, Hadj-Rabah, Karima, Bouaraba, Azzedine, Harkati, Lekhmissi, Benbouzid, Mohammed Amine, Schirinzi, Gilda
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Computational efficiency Detectors Generalized likelihood ratio test (GLRT) detection Geoscience and remote sensing gridless GLRT Height height estimation Image reconstruction Likelihood ratio Linear programming Minimization Particle swarm optimization particle swarm optimization (PSO) Radar detection Resolution cell Root-mean-square errors SAR (radar) Synthetic aperture radar synthetic aperture radar (SAR) tomography (TomoSAR) Three dimensional models Tomography Vectors
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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