Title :
Reliable information-retrieval strategies for inverse scattering — A review
Author :
Oliveri, G. ; Rocca, P. ; Massa, A.
Author_Institution :
DISI, ELEDIA Res. Group, Univ. of Trento, Trento, Italy
Abstract :
The ill-posedness and nonlinearity affecting inverse scattering problems are strictly related to the limited amount of information in the scattering data. Accordingly, the search for approximate solutions satisfying additional constraints coming from different, when available, information sources represent an important aspect to be carefully considered for addressing inverse scattering problems. This contribution is aimed at reviewing some strategies exploiting different sources to retrieve information on the inverse problem for yielding reliable and inverse solutions.
Keywords :
electrical engineering computing; electromagnetic wave scattering; information retrieval; inverse problems; information retrieval strategy; inverse scattering problem; scattering data; Dielectrics; Image reconstruction; Inverse problems; Microwave imaging; Microwave theory and techniques; Remote sensing; information-retrieval; inverse scattering; microwave imaging;
Conference_Titel :
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location :
Spokane, WA
Print_ISBN :
978-1-4244-9562-7
DOI :
10.1109/APS.2011.5997041
