I am proposing a system comprising basically of a central cloud, unmanned surveillance vehicles on autopilot,ground blue forces and support HUMINT/R&STA Team within an Area of operations , relatively unknown and new to the blue forces, and with designated search areas , areas to be patrolled , these taskings and locations predetermined by intrusive reconnaissance and surveillance teams prior to the deployment of blue forces (Say an interim brigade combat team).
We have 3 sets of data to be stored in the database of the cloud CNISR (See below for the term),viz raw data,metadata and beliefs.Raw data/metadata ill explain in contect below.Beliefs are abstract geospatial artifacts about the current situation.They are time sensitive, that is updated by sensor input with time(Clouds own sensor payload and those of unmanned vehicles network and from the ground humint teams)..Beliefs can be a particular target at a particular location in the current time.Or it can be a search area , defined, or blue force loaction at the current time.Beliefs can be ascertained by collection platforms or humint agents.Mission level objectives that drive the collection process are a special set of beliefs produced by humans , for example the commander.We can install pattern recognition software in overhead or remotely installed sensors/observation posts or data-fusion algorithm to recognize these geospatial artifacts called beliefs.Thus beliefs can be autonomously generated.We further have a truth-ascertaining system or rather conflict resolution software that will select the more accurate belief from a set of beliefs , based on time progression.For example one humint agent at time t0 can posit that there is an enemy target at this point(grid x,y) and another agent more recently posits that there is no observable enemy target at (grid x,y) at time t1 where t1>t0.The truth ascertaining system software will automaticaly select the most recent observable value posted by the concerned humint agent in the database.This can be further refined by arrangement of an efficient data storage and retreival system that caches the most recent timely and relevant data for retreival(rapid access).In systems where over a long time much information has been stored by all agents to be manageable , then the truth ascertaining system software removes older data.For caching and removal factors that are embedded in the software to determine logical flow are;
1.operational relevance
2.age of the data
3.proximity to the blue forces
4.uniqueness
5.accuracy
6.specificity
Self organizing humint team:
Other overhead sensors each locate geospatial atrifacts like blue forces location , search areas, track reports of a specific class of targets at specific routes or location,an alert data such as a perceived threat recognized by pattern recognition software for ex. enemy tank,uniformed soldier,weapon within a certain distance of the location of blue forces or soldier,......these data are communicated to the humint team spread out widely and the team reorganizes (overhead sensor time of collection , pose and position are matched with these beliefs or raw data collected by the sensors and the geolocation of the blue forces to give a vivid picture of metadata information by providing context to the raw data in relation to the surroundings of the blue forces,the truth ascertaining system prunes the data keeping the 6 factors in consideration and further refines the matching process..and all this is fed to the humint team , team members communicate within themselves , change collection priorities and self organize to start anew observation , surveillance and reconnaissance , all the time providing feedback to the blue forces S2.).
Overhead unmanned sensors can be on autopilot and can be connected to a "cloud" , ill term it Control Node ISR , CNISR, where we will basically have a software system which will include truth ascertaining software/storage and retreival system software/processor to execute the softwares, radio system to communicate with the seperate
unmanned vehicle nodes as well as the handheld devices with the blue forces and humint team,and an analog to digital converter to convert CNISR and unmanned vehicles sensor collected data to digital form for processing.