TY - JOUR
T1 - Genetic algorithm application in the near-field imaging
AU - Yuan, Y.
AU - Chan, C. H.
AU - Man, K. F.
PY - 2002
Y1 - 2002
N2 - Moment method is introduced to the numerical analysis of near-field imaging and the simulated image of a 3D object is presented. To determine the relation between the shape of the tip of the sensor and the resolution of the image, genetic algorithm is employed to search for the optimal parameters, which will provide the best resolution of the near-field images. Through detailed observation on the relationship between gradient estimator and the FIR high-pass filter, the basic structure for the frequency selective weighted medial (FSWM) criterion function is derived.
AB - Moment method is introduced to the numerical analysis of near-field imaging and the simulated image of a 3D object is presented. To determine the relation between the shape of the tip of the sensor and the resolution of the image, genetic algorithm is employed to search for the optimal parameters, which will provide the best resolution of the near-field images. Through detailed observation on the relationship between gradient estimator and the FIR high-pass filter, the basic structure for the frequency selective weighted medial (FSWM) criterion function is derived.
UR - http://www.scopus.com/inward/record.url?scp=0036070791&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0036070791&origin=recordpage
U2 - 10.1109/APS.2002.1016445
DO - 10.1109/APS.2002.1016445
M3 - RGC 21 - Publication in refereed journal
SN - 0272-4693
VL - 1
SP - 722
EP - 725
JO - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
JF - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
T2 - 2002 IEEE Antennas and Propagation Society International Symposium
Y2 - 16 June 2002 through 21 June 2002
ER -