Title :
SAR systems resolution reviewed for target classification in knowledge-based environment
Author_Institution :
Knowledge-Based Eng. Syst. Group, Univ. of South Australia, Adelaide, SA, Australia
Abstract :
The knowledge based approach to synthetic aperture radar systems which is presented, considers how to utilise given equipment to perform the classification function, rather than providing an image of photographic like resolution for the purpose. The paper shows that dithering multiple carrier centre frequencies results in optimum use of the SAR waveform. Enhanced slant range resolution is achieved whilst maintaining the same analog to digital convertor bandwidth and data storage size. The system´s capacity as a classifier of targets of large radar cross section is greatly improved even though the corresponding image is degraded
Keywords :
image classification; knowledge based systems; radar computing; radar imaging; synthetic aperture radar; SAR systems resolution; SAR waveform; analog to digital convertor bandwidth; classification function; data storage size; dithering multiple carrier centre frequencies; knowledge based approach; knowledge-based environment; large radar cross section; slant range resolution; synthetic aperture radar systems; target classification; Australia; Converters; Degradation; Frequency conversion; Hardware; Image resolution; Memory; Radar cross section; Radar imaging; Synthetic aperture radar;
Conference_Titel :
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location :
Adelaide, SA
Print_ISBN :
0-8186-7085-1
DOI :
10.1109/ETD.1995.403506