Conventional and evolutionary feature selection of SAR data using a filter approach

0410445 20240103182214.620060210235959.9 980-07-6695-2 Conventional and evolutionary feature selection of SAR data using a filter approach 5 Image, Acoustic, Speech and Signal Processing: Part I. Orlando IIIS 2000 7 s. Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics427-433 cav_un_auth*0212702 Mayer H. AT cav_un_auth*0101197 Somol Petr UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K 09H AKTION 23p20 MŠMT CZ VS96063 MŠMT CZ cav_un_auth*0025066 AV0Z1075907 The steady increase of the amount of information gathered by remote sensing systems makes the developement of highly efficient algorithms to reduce the data volume even more important. We compare recently developed and highly effective feature selection algorithms with approaches based on evolutionary algorithms enabling parallel feature subset selection. We investigated SAR (synthetic aperture radar) dataset. cav_un_auth*0212704 World Multiconference on Systemics, Cybernetics and Informatics /4./ Orlando US 23.07.2000-26.07.2000 JC RO http://hdl.handle.net/11104/0130534 UTIA-B 20000161 2000 2000 Orlando IIIS 980-07-6695-2 Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics 427 433