Systems and methods for feature extraction and artificial decision explainability

    公开(公告)号:US11222245B2

    公开(公告)日:2022-01-11

    申请号:US16887508

    申请日:2020-05-29

    Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

    Systems and methods for feature extraction and artificial decision explainability

    公开(公告)号:US11756287B2

    公开(公告)日:2023-09-12

    申请号:US17572485

    申请日:2022-01-10

    CPC classification number: G06F18/241 G06V10/40 G06V2201/07

    Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

    SYSTEMS AND METHODS FOR FEATURE EXTRACTION AND ARTIFICIAL DECISION EXPLAINABILITY

    公开(公告)号:US20210374485A1

    公开(公告)日:2021-12-02

    申请号:US16887508

    申请日:2020-05-29

    Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

    SYSTEMS AND METHODS FOR FEATURE EXTRACTION AND ARTIFICIAL DECISION EXPLAINABILITY

    公开(公告)号:US20230244756A1

    公开(公告)日:2023-08-03

    申请号:US17572485

    申请日:2022-01-10

    CPC classification number: G06V10/764 G06F18/241 G06V10/809 G06V2201/07

    Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

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