DocumentCode
1952612
Title
Classification of objects by radar remote sensing
Author
Ligthart, L.P. ; Logvin, A.I. ; Kozlov, A.I.
Author_Institution
IRCTR, Delft Univ. of Technol., Netherlands
Volume
1
fYear
2002
fDate
2002
Firstpage
159
Abstract
At present radar object classification by means of radar remote sensing making use of the appropriate received information is widely based on the Bayesian approach. However, this does not take into account that certain parameters (attributes) of sensed objects (and derived from measured data) have a certain degree of uncertainty. This uncertainty consideration necessitates a modification in the Bayesian approach. This modified variant of the Bayesian approach to be used for classification of sensed radar objects is described in this paper.
Keywords
Bayes methods; image classification; radar imaging; radar theory; remote sensing by radar; uncertain systems; modified Bayesian approach; radar object classification; radar remote sensing; uncertainty; Bayesian methods; Earth; Equations; Error correction; Error probability; Probability density function; Radar remote sensing; Remote sensing; Uncertainty; Vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar and Wireless Communications, 2002. MIKON-2002. 14th International Conference on
Print_ISBN
83-906662-5-1
Type
conf
DOI
10.1109/MIKON.2002.1017825
Filename
1017825
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