Analyst cueing in guided data extraction
First Claim
1. A method for change detection of targets within regions of interest in a sensor derived data set comprising:
- receiving a data set of sensor information collected in the field;
extracting features and regions of interest from within the sensor dataset;
constructing a classifier defined set of features;
building a separate data set containing identified and labeled targets;
generating a prioritization list of said identified and labeled targets;
presenting said prioritized list of identified and labeled targets to a human analyst; and
wherein the human analyst may input new labels and target identification to the prioritized list which is then incorporated into said data set containing identified and labeled targets, said data set then formatted and presented upon a display for use by the human analyst.
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Accused Products
Abstract
The Analyst Cueing method addresses the issues of locating desired targets of interest from among very large datasets in a timely and efficient manner. The combination of computer aided methods for classifying targets and cueing a prioritized list for an analyst produces a robust system for generalized human-guided data mining. Incorporating analyst feedback adaptively trains the computerized portion of the system in the identification and labeling of targets and regions of interest. This system dramatically improves analyst efficiency and effectiveness in processing data captured from a wide range of deployed sensor types.
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Citations
16 Claims
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1. A method for change detection of targets within regions of interest in a sensor derived data set comprising:
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receiving a data set of sensor information collected in the field; extracting features and regions of interest from within the sensor dataset; constructing a classifier defined set of features; building a separate data set containing identified and labeled targets; generating a prioritization list of said identified and labeled targets; presenting said prioritized list of identified and labeled targets to a human analyst; and wherein the human analyst may input new labels and target identification to the prioritized list which is then incorporated into said data set containing identified and labeled targets, said data set then formatted and presented upon a display for use by the human analyst. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer generated software product embodied within a storage medium for change detection of targets within regions of interest in a sensor derived data set comprising:
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a server module operative to extract data fields from incoming data communications; receiving a data set of sensor information collected in the field; extracting features and regions of interest from within the sensor dataset; constructing a classifier defined set of features; building a separate data set containing identified and labeled targets; generating a prioritization list of said identified and labeled targets; presenting said prioritized list of identified and labeled targets to a human analyst; and wherein the human analyst may input new labels and target identification to the prioritized list which is then incorporated into said data set containing identified and labeled targets, said data set then formatted and presented upon a display for use by the human analyst. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification