DocumentCode :
3047465
Title :
Radar vision
Author :
Haykin, Simon
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fYear :
1990
fDate :
7-10 May 1990
Firstpage :
585
Lastpage :
588
Abstract :
The novel idea called radar vision is introduced. The goal of radar vision is to make radar into an intelligent remote-sensing device that is capable of cognition of the surrounding environment. The attributes of radar as an electromagnetic sensor are reviewed, and the possibility of radar learning from the environment is discussed. The issues of time and knowledge processing and the incorporation of feedback are addressed. The facilities in place at McMaster University for research into the development and perfection of a radar vision system are described. The IPIX radar and the systolic-based computing machinery, which play critical and complementary roles, are described. The IPIX radar permits the collection of invaluable real-life data on the ocean environment and radar targets of interest under varying conditions. The systolic-radar computing machinery processes this database in near real time and computes the neural-network-based algorithms that are designed to perform the different functions of radar vision
Keywords :
computerised pattern recognition; knowledge based systems; learning systems; neural nets; radar systems; remote sensing by radar; telecommunications computing; IPIX radar; McMaster University; feedback; knowledge processing; neural-network-based algorithms; radar learning; radar vision system; remote-sensing device; systolic-radar computing machinery; time processing; Cognition; Computer vision; Databases; Intelligent sensors; Machine vision; Machinery; Oceans; Radar remote sensing; Remote sensing; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 1990., Record of the IEEE 1990 International
Conference_Location :
Arlington, VA
Type :
conf
DOI :
10.1109/RADAR.1990.201117
Filename :
201117
Link To Document :
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