bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410445 |
utime |
20240103182214.6 |
mtime |
20060210235959.9 |
ISBN |
980-07-6695-2 |
title
(primary) (eng) |
Conventional and evolutionary feature selection of SAR data using a filter approach |
part_num |
5 |
part_title |
Image, Acoustic, Speech and Signal Processing: Part I. |
publisher |
place |
Orlando |
name |
IIIS |
pub_time |
2000 |
|
specification |
|
serial |
title
|
Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics |
page_num |
427-433 |
|
author
(primary) |
ARLID |
cav_un_auth*0212702 |
name1 |
Mayer |
name2 |
H. |
country |
AT |
|
author
|
ARLID |
cav_un_auth*0101197 |
name1 |
Somol |
name2 |
Petr |
institution |
UTIA-B |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
COSATI |
09K |
COSATI |
09H |
cas_special |
project |
project_id |
AKTION 23p20 |
agency |
MŠMT |
country |
CZ |
|
project |
project_id |
VS96063 |
agency |
MŠMT |
country |
CZ |
ARLID |
cav_un_auth*0025066 |
|
research |
AV0Z1075907 |
abstract
(eng) |
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. |
action |
ARLID |
cav_un_auth*0212704 |
name |
World Multiconference on Systemics, Cybernetics and Informatics /4./ |
place |
Orlando |
country |
US |
dates |
23.07.2000-26.07.2000 |
|
RIV |
JC |
department |
RO |
permalink |
http://hdl.handle.net/11104/0130534 |
ID_orig |
UTIA-B 20000161 |
arlyear |
2000 |
mrcbU10 |
2000 |
mrcbU10 |
Orlando IIIS |
mrcbU12 |
980-07-6695-2 |
mrcbU63 |
Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics 427 433 |
|