DocumentCode :
2356721
Title :
Surface image formation based on sparse arrays with nonlinear signal processing
Author :
Holotyak, T.S. ; Prudyus, I.N. ; Voloshynovskiy, S.V.
Author_Institution :
State Univ. L´´vov Polytech., Ukraine
fYear :
1998
fDate :
12-14 Oct 1998
Firstpage :
232
Lastpage :
235
Abstract :
Conversion from human into remote mine detection systems causes the necessity of complicated mine detection device development. In this paper a radiometry detector is proposed for mine detection vehicle. Application of signal processing permits to improve obtained image quality and to use sparse antenna array with notable reduction of antenna elements
Keywords :
buried object detection; 2D convolution; image formation model; image quality; image restoration algorithm; iterative algorithms; mine detection vehicle; nonlinear signal processing; radiometry detector; reduction of antenna elements; remote mine detection systems; remote sensing system; sparse antenna array; spatial spectra; surface image formation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Detection of Abandoned Land Mines, 1998. Second International Conference on the (Conf. Publ. No. 458)
Conference_Location :
Edinburgh
ISSN :
0537-9989
Print_ISBN :
0-85296-711-X
Type :
conf
DOI :
10.1049/cp:19980726
Filename :
731307
Link To Document :
بازگشت