Abstract: A multi-domain operational system is provided. The system includes a data collection engine configured and operable to collect operational data from one or more collection resources within time constraints imposed by operational requirements. The system further includes a business rules engine configured and operable to execute a plurality of rules each of which comprise a plurality of conditions grouped in a sequence by a set of logical connectors. The plurality of rules are associated with a mission task. The system also includes a security engine configured to facilitate information sharing across multiple security domains based on one or more security protocols. The system further includes a mission manager software component configured and operable to manage operation of at least the data collection engine, the business rules engine and the security engine using a common information layer.

Abstract: A method is disclosed of providing a graphical user interface (GUI) for simulating target detection and recognition. The method includes providing a user entry area for receiving user entered ground truth attributes defining one or more respective simulated physical objects, and providing a user entry area for receiving user entered collection attributes defining one or more collections, each collection being a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The method further includes simulating detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes, generating detection data about at least one detected object based on the simulated target detection, and displaying the detection data.

Abstract: A simulator to simulate target detection and recognition is provided. The simulator includes a memory configured to store instructions and a processor disposed in communication with said memory. The processor upon execution of the instructions is configured to receive ground truth attributes defining one or more respective simulated physical objects and receive collection attributes defining one or more collections. Each collection is a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The processor upon execution of the instructions is further configured to simulate detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes and output detection data about at least one detected object based on the simulation of target detection.

Abstract: A method to simulate target detection and recognition is provided. The method includes receiving ground truth attributes defining one or more respective simulated physical objects and receiving collection attributes defining one or more collections. Each collection is a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The method further includes simulating detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes, generating detection data about at least one detected object based on the simulated target detection, and outputting the detection data.

Abstract: A method for information fusion in multi-domain operational environment is provided. The method includes receiving a first plurality of detection tags containing domain agnostic information related to one or more targets of interest. Target detection statistics contained in the first plurality of detection tags are combined to provide a fused estimate of a probability of a correct identification of a target of the one or more targets of interest. Target geolocation statistics contained in the first plurality of detection tags are combined to provide a fused estimate of a location of the one or more targets of interest. One or more fused detection tag containing at least the combined target detection statistics and the combined target geolocation statistics are generated.

Abstract: A method for automated operational services across multiple data domains includes receiving requirement information related to one or more targets of interest. Information related to the one or more targets of interest is collected from one or more data sources across multiple data domains based on the received requirement information. A determination is made if the collected information meets the received requirements related to the one or more targets of interest. A classification tag containing domain agnostic information related to the one or more targets of interest is generated, responsive to determining that the collected information meets the received requirements.

Abstract: A method is disclosed of providing a graphical user interface (GUI) for simulating target detection and recognition. The method includes providing a user entry area for receiving user entered ground truth attributes defining one or more respective simulated physical objects, and providing a user entry area for receiving user entered collection attributes defining one or more collections, each collection being a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The method further includes simulating detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes, generating detection data about at least one detected object based on the simulated target detection, and displaying the detection data.

Abstract: A method to simulate target detection and recognition is provided. The method includes receiving ground truth attributes defining one or more respective simulated physical objects and receiving collection attributes defining one or more collections. Each collection is a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The method further includes simulating detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes, generating detection data about at least one detected object based on the simulated target detection, and outputting the detection data.

Abstract: A simulator to simulate target detection and recognition is provided. The simulator includes a memory configured to store instructions and a processor disposed in communication with said memory. The processor upon execution of the instructions is configured to receive ground truth attributes defining one or more respective simulated physical objects and receive collection attributes defining one or more collections. Each collection is a simulation of automated target recognition applied to simulated sensor output associated with simulated sensing of the one or more simulated physical objects. The processor upon execution of the instructions is further configured to simulate detection of the one or more simulated physical objects and recognition based on the ground truth attributes and the collection attributes and output detection data about at least one detected object based on the simulation of target detection.

Abstract: A method for information fusion in multi-domain operational environment is provided. The method includes receiving a first plurality of detection tags containing domain agnostic information related to one or more targets of interest. Target detection statistics contained in the first plurality of detection tags are combined to provide a fused estimate of a probability of a correct identification of a target of the one or more targets of interest. Target geolocation statistics contained in the first plurality of detection tags are combined to provide a fused estimate of a location of the one or more targets of interest. One or more fused detection tag containing at least the combined target detection statistics and the combined target geolocation statistics are generated.

Abstract: A multi-domain operational system is provided. The system includes a data collection engine configured and operable to collect operational data from one or more collection resources within time constraints imposed by operational requirements. The system further includes a business rules engine configured and operable to execute a plurality of rules each of which comprise a plurality of conditions grouped in a sequence by a set of logical connectors. The plurality of rules are associated with a mission task. The system also includes a security engine configured to facilitate information sharing across multiple security domains based on one or more security protocols. The system further includes a mission manager software component configured and operable to manage operation of at least the data collection engine, the business rules engine and the security engine using a common information layer.

Abstract: A method for automated operational services across multiple data domains includes receiving requirement information related to one or more targets of interest. Information related to the one or more targets of interest is collected from one or more data sources across multiple data domains based on the received requirement information. A determination is made if the collected information meets the received requirements related to the one or more targets of interest. A classification tag containing domain agnostic information related to the one or more targets of interest is generated, responsive to determining that the collected information meets the received requirements.