US5263097A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Parameter normalized features for classification procedures, systems and methods
Assignee: Texas Instruments Inc
•
Filing: 1991-07-24
•
Granted: 1993-11-16
•
Expires: 2011-07-24
Abstract
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.
Inventors
- 👤 Alan J. Katz
- 👤 Michael T. Gately
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-25 21:57
CPC Classifications
G; G01; G01S; G01S3/00; G01S3/78; G01S3/782; G01S3/785; G01S3/786; G01S3/7864; G01S3/7865; G01S7/00; G01S7/02; G01S7/41; G01S7/417; G06; G06F; G06F18/00; G06F18/10; G06F18/15; G06V; G06V10/00; G06V10/20; G06V10/32; G10; G10L; G10L15/00; G10L15/02
Claims Analysis
Total Claims: 34
Claim 1
Independent Claim
96 words
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.
Claim 2
Independent Claim
96 words
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.
Claim 3
Dependent Claim
25 words
The method of claim 1, wherein said data is a format selected from the group consisting of one-dimensional, two-dimensional, and multi-dimensional or a combination thereof.
Claim 4
Dependent Claim
28 words
The method of claim 1, wherein said data is a format selected from the group consisting of digitized imagery, speech signals, and radar signals or a combination thereof.
Claim 5
Dependent Claim
16 words
The method of claim 1, wherein parallel architectures are used to select the appropriate classification procedure.
Claim 6
Dependent Claim
12 words
The method of claim 4, wherein said parallel architectures comprise neural networks.
Claim 7
Dependent Claim
16 words
The method of claim 1, wherein parallel architectures are used to implement said appropriate classification procedure.
Claim 8
Dependent Claim
12 words
The method of claim 6, wherein said parallel architectures comprise neural networks.
Claim 9
Dependent Claim
25 words
The method of claim 1, wherein said feature information is a format selected from the group consisting of contrast-based and texture-based or a combination thereof.
Claim 10
Dependent Claim
18 words
The method of claim 1, wherein said appropriate classification procedure distinguishes a plurality of classes from one another.
Claim 11
Dependent Claim
16 words
The method of claim 1, further comprising the step of inputting parameter information after step (c).
Claim 12
Dependent Claim
30 words
The method for distinguishing targets from clutter of claim 1, wherein said selected information highlighted by said preprocessing is selected from the group consisting of feature information and parameter information.
Claim 13
Dependent Claim
26 words
The method for distinguishing targets from clutter of claim 1, wherein said selected information highlighted by said preprocessing is used to select said appropriate classification procedure.
Claim 14
Dependent Claim
96 words
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.
Claim 15
Dependent Claim
96 words
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.
Claim 16
Dependent Claim
23 words
The classification system of claim 13, wherein said data input is a format selected from the group consisting of one-dimensional, two-dimensional, and multidimensional.
Claim 17
Dependent Claim
26 words
The classification system of claim 13, wherein said data input a format selected from the group consisting of is digitized imagery, speech signals, and radar signals.
Claim 18
Dependent Claim
16 words
The classification system of claim 13, wherein parallel architectures are used to implement said switching procedures.
Claim 19
Dependent Claim
16 words
The classification system of claim 13, wherein parallel architectures are used to implement said classification procedures.
Claim 20
Dependent Claim
22 words
The classification system of claim 13, wherein said feature information is a format selected from the group consisting of contrast-based and texture-based.
Claim 21
Dependent Claim
99 words
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.
Claim 22
Dependent Claim
99 words
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.
Claim 23
Dependent Claim
99 words
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.
Claim 24
Dependent Claim
99 words
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.
Claim 25
Dependent Claim
96 words
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.
Claim 26
Dependent Claim
96 words
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.
Claim 27
Dependent Claim
22 words
The classification system of claim 21, wherein said environmental effects are selected from the group consisting of sensor effects and climatic effects.
Claim 28
Dependent Claim
20 words
The classification system of claim 21, wherein said preprocessor also detects environmental effects which are used to select said classifier.
Claim 29
Dependent Claim
80 words
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.
Claim 30
Dependent Claim
80 words
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.
Claim 31
Dependent Claim
20 words
The classification system of claim 24, wherein said preprocessor also detects environmental effects which are used to select said classifier.
Claim 32
Dependent Claim
80 words
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.
Claim 33
Dependent Claim
80 words
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.
Claim 34
Dependent Claim
24 words
The method for distinguishing targets from clutter of claim 26, wherein said selected information highlighted by said preprocessing is used to select said classifier.
References Cited (Backward Citations)
US3626368A
Cited
US4025920A
Cited
US4566123A
Cited
US4773099A
Cited
US4933872A
Cited
US5040133A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1996-11-15 | 1997-05-17 | 1997-11-16 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2000-11-15 | 2001-05-17 | 2001-11-16 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2004-11-15 | 2005-05-17 | 2005-11-16 | $7700.00 | Window Closed / Lapsed |