Parameter normalized features for classification procedures, systems and methods
First Claim
1. A method for distinguishing targets from clutter, comprising the steps of(a) inputting data containing target information and background information and preprocessing said data to highlight selected information to ultimately improve target recognition;
- (b) extracting feature information from said data;
(c) extracting parameter information from said data;
(d) normalizing said feature information with said parameter information to produce parameter normalized feature information;
(e) inputting said parameter normalized feature information into an appropriate classification procedure;
(f) operating said appropriate classification procedure on said parameter normalized feature information; and
(g) outputting said target information and said background information.
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Accused Products
Abstract
This application discloses a method for distinguishing targets from clutter, comprising the steps of inputting data, extracting feature information from said data, extracting parameter information from said data, normalizing said features with said parameter information to produce parameter normalized feature information, inputting said parameter normalized feature information into the classification procedure, operating said classification procedure on said parameter normalized feature information, and outputting target and clutter data. Classification systems are also disclosed.
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Citations
27 Claims
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1. A method for distinguishing targets from clutter, comprising the steps of
(a) inputting data containing target information and background information and preprocessing said data to highlight selected information to ultimately improve target recognition; -
(b) extracting feature information from said data; (c) extracting parameter information from said data; (d) normalizing said feature information with said parameter information to produce parameter normalized feature information; (e) inputting said parameter normalized feature information into an appropriate classification procedure; (f) operating said appropriate classification procedure on said parameter normalized feature information; and (g) outputting said target information and said background information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A classification system, comprising
(a) a preprocessor to highlight selected information of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor procedures to extract parameter information from said data input; (d) a normalizer that normalizes said feature information with said parameter information to produce parameter normalized feature information; and (e) a classifier that uses said parameter normalized feature information to distinguish target information from said background information and output said target information and background information. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A classification hardware system, comprising
(a) a preprocessor to highlight selected information of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor to extract parameter information from said data input; (d) a normalizer procedures that normalizes said feature information with said parameter information to produce parameter normalized feature information; and (e) a classifier that use said parameter normalized feature information to distinguish said target information from said background information and output said target information and said background information.
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20. A classification software system, comprising
(a) a preprocessor to highlight selected information of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor to extract parameter information from said data input; (d) a normalizer procedures that normalizes said feature information with said parameter information to produce parameter normalized feature information; and (e) a classifier that use said parameter normalized feature information to distinguish said target information from said background information and output said target information and said background information.
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21. A classification system, comprising
(a) a preprocessor to diminish environmental effects of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor procedures to extract parameter information from said data input; (d) a normalizer that normalizes said feature information with said parameter information to produce parameter normalized feature information; and (e) a classifier that uses said parameter normalized feature information to distinguish target information from said background information and output said target information and background information. - View Dependent Claims (22, 23)
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24. A classification system, comprising
(a) a preprocessor to diminish environmental effects of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor procedures to extract parameter information from said data input; and (d) a classifier that uses said parameter information and said feature information to distinguish target information from said background information and output said target information and background information. - View Dependent Claims (25)
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26. A classification system, comprising
(a) a preprocessor to highlight selected information of a data input containing target information and background information to ultimately improve target recognition; -
(b) a feature extractor to extract feature information from said data input; (c) a parameter extractor procedures to extract parameter information from said data input; and (e) a classifier that uses said parameter information and said feature information to distinguish target information from said background information and output said target information and background information. - View Dependent Claims (27)
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Specification