Pages that link to "Item:Q2863529"
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The following pages link to Approximate Global Convergence in Imaging of Land Mines from Backscattered Data (Q2863529):
Displaying 7 items.
- On an artificial neural network for inverse scattering problems (Q2134547) (← links)
- Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements (Q2352327) (← links)
- Machine learning based data retrieval for inverse scattering problems with incomplete data (Q2660886) (← links)
- Numerical Solution of an Inverse Problem of Imaging of Antipersonnel Land Mines By the Globally Convergent Convexification Algorithm (Q3648615) (← links)
- On a novel inverse scattering scheme using resonant modes with enhanced imaging resolution (Q5204641) (← links)
- Imaging of Buried Objects from Experimental Backscattering Time-Dependent Measurements Using a Globally Convergent Inverse Algorithm (Q5250012) (← links)
- Comparative studies of the globally convergent convexification algorithm with application to imaging of antipersonnel land mines (Q5441016) (← links)
