Skip to Main content Skip to Navigation
Conference papers

An evolutionary approach for 3D superresolution imagery

Abstract : The paper presents an evolutionary approach for 3D superresolution (SR) imagery combining the CLEAN method and an optimization procedure based on genetic algorithms (GA). Actually, this is an extension of some previously published research works on evolutionary programming (EP) based CLEAN method in 1D and 2D cases. Measured data results obtained using GA-based CLEAN-1D and CLEAN-2D are first provided in the paper. A gap is thus filled since previous works use only synthetic generated ISAR data. For the 3D case, the main idea is still to consider the reconstruction process as an optimization problem related to the residual energy of the acquired data after each scattering center (SC) extraction and cancellation. However, a new spatial dimension is added. The proposed solution takes advantage of some powerful convergence properties of GA and provides good performance in terms of both accuracy and robustness.
Complete list of metadatas

https://hal.univ-brest.fr/hal-00485829
Contributor : Emanuel Radoi <>
Submitted on : Friday, May 21, 2010 - 6:19:42 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:22 PM

Identifiers

  • HAL Id : hal-00485829, version 1

Citation

Felix Totir, Emanuel Radoi, André Quinquis, Stefan Demeter. An evolutionary approach for 3D superresolution imagery. EUSIPCO 2006, Sep 2006, Florence, Italy. pp.1-5. ⟨hal-00485829⟩

Share

Metrics

Record views

249