Stochastic Optimization Methods Applied to Microwave Imaging: A Review
By Matteo Pastorino. IEEE Transactions on Antennas and Propagation, 2007
192 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/98883a3daf53fb8ea3716ba9a344637023246200
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Andrea Massa
- Paolo Rocca
- Giacomo Oliveri
- Massimo Donelli
- Davide Franceschini
- Lorenzo Poli
- Manuel Benedetti
- Nicola Anselmi
In Electrical and Electronic Engineering
- Paolo Rocca
- Giacomo Oliveri
- Andrea Massa
- Davide Franceschini
- Lorenzo Poli
- Massimo Donelli
- Manuel Benedetti
- Robert J. Mailloux
In Ocean Engineering
- Andrea Massa
- Paolo Rocca
- Giacomo Oliveri
- Massimo Donelli
- Davide Franceschini
- Lorenzo Poli
- Manuel Benedetti
Citations in the corpus
- Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing (2012, methodology): “Global optimization tools [37], [38], multi-step information retrieval techniques [39], [40] as well as alternative problem formulations such as contrast-source [17], [19] and qualitative methods [25], [26] have been introduced as suitable countermeasures for mitigating the non-linearity or its effe”
- Evolutionary optimization as applied to inverse scattering problems (2009, methodology): “More recently, the ant colony optimizer (ACO) has been also applied [118].”