Simple object reconstruction using compressive sampling

Resumen

This paper proposes a method for reconstruction of simple objects by solving the inverse scattering problem using compressive sampling. One is a continuation of research previously developed by the authors for locating point targets. Unlike the latter, now we are dealing with more complex objects which can be seen as a white spot formed by various point target. A series of simple targets were studied using a model developed using convex optimization. This allows us to evaluate the model under different configurations and conditions looking for limiting operation conditions. A thresholding method also is implemented to improve the reconstructed image and we define indicators to measure the error in the reconstructed image like: the global error, the estimation error and the reconstruction error.

Detalles

Año
2014
Autores
M. Zambrano, C. Medina, E. Galagarza
Revista / Conferencia
2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV)
Tipo
Conferencia
Enlace externo
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