MULTISPECTRAL CAMOUFLAGE TESTING AND DEFEAT CAPABILITY
A camouflage defeat and testing system ( 1200 ) includes a network platform ( 1202 ) and one or more edge devices ( 1204 ). The platform ( 1202 ) and/or the edge device ( 1204 ) receive inputs from one or more sensor devices ( 1210 - 1213 ) monitoring an area of interest ( 1214 ). For example, the area of interest 1214 may be a battlefield or staging area of an adversary. In this case, the area of interest ( 1214 ) includes a target ( 1216 ) utilizing a camouflage technology ( 1218 ) such as multispectral camouflage. The system ( 1200 ) employs spatial and/or temporal processing to process images and the sensor devices ( 1210 - 1213 ) to defeat the camouflage technology ( 1218 ). The system ( 1200 ) can also be employed to test and optimize multispectral camouflage capabilities.
1 . A method for use in defeating and testing camouflage strategies, comprising:
providing a processing platform operative for one or both of a spatial analysis and a temporal analysis of sensor data; and
operating a processing platform for:
obtaining first sensor information of an area of interest;
first processing the sensor information to provide enhanced sensor information, said enhanced sensor information providing enhanced detection of a target in said sensor information;
second processing said enhanced sensor information to provide an output concerning a presence or absence of said target of interest.
2 . The method of claim 1 , wherein said spatial analysis comprises a computer vision analysis including one or more of object detection, edge detection, blob detection, multi-scale analysis, feature fusion, and an attention mechanism.
3 . The method of claim 1 , wherein said target of interest comprises a human being.
4 . The method of claim 3 , wherein said processing platform is operative for distinguishing a human being from another living being.
5 . The method of claim 3 , wherein said processing platform is operative for distinguishing a living human being from a non-living human being or non-living entity.
6 . The method of claim 3 , wherein said processing platform is operative for determining information concerning one or both of signs of life and status of life.
7 . The method of claim 1 , wherein said target of interest comprises one or more of an object, equipment, machinery, vehicles, weapons systems, RADAR and communication installations, and the like.
8 . The method of claim 1 , wherein said target of interest comprises one or more of a building, trench or tunnel system, airfield, infrastructure and other physical phenomenon.
9 . The method of claim 1 , wherein said camouflage strategies comprise one or more of a cover, a concealment, and a camouflage material.
10 . The method of claim 9 , wherein said camouflage strategies comprise a visual camouflage.
11 . The method of claim 9 , wherein said camouflage strategies comprise one or more of electromagnetic spectrum, to include ultraviolet, visible, infrared, thermal, and radio frequency, to include RADAR, acoustic, or other signature masking technique.
12 . The method of claim 1 , wherein said sensor information comprises one or more still images.
13 . The method of claim 1 , wherein said sensor information comprises a live video.
14 . The method of claim 1 , wherein said sensor information comprises a recorded video.
15 . The method of claim 1 , wherein said sensor information comprises passive sensor information including one or more of a red-green-blue (RGB) video, a grayscale video, a thermal, infrared, or night-vision video, and an ultraviolet video.
16 . The method of claim 1 , wherein said processing platform comprises a mobile edge device for deployment on or in one or more of a battlefield, an austere environment, or an operationally constrained environment.
17 . The method of claim 1 , wherein said sensor information comprises information from multiple sensor systems and said output is based on information from one or more of said multiple sensor systems.
18 . The method of claim 1 , wherein said first processing comprises aggregating the outputs from multiple sensors with different angles and fields of view relative to the target of interest to provide a more complete spatial picture of said target of interest.
19 . The method of claim 1 , wherein said second processing comprises processing said first information using artificial intelligence/machine learning.
20 . The method of claim 1 , wherein said processing platform further receives sensor inputs separate from said sensor information.
21 . The method of claim 1 , wherein said processing platform implements one or both of region of interest and signal of interest processing.
22 . The method of claim 1 , wherein said signature information concerns at least one of motion, vibration, emission, color change, reflectance, or a bio-physiologic signature.
23 . A system for use in defeating and testing camouflage strategies, comprising:
a processing platform operative for one or both of a spatial analysis and a temporal analysis of sensor data;
said processing platform further being operative for:
obtaining sensor information of an area of interest;
first processing the sensor information to provide enhanced sensor information, said enhanced sensor information providing enhanced detection of a target of interest in said sensor information
second processing said enhanced sensor information to provide an output concerning a presence or absence of said target of interest.
24 . The system of claim 23 , wherein said spatial analysis comprises a computer vision analysis including one or more of object detection, edge detection, blob detection, multi-scale analysis, feature fusion, and an attention mechanism.
25 .- 32 . (canceled)
33 . The system of claim 23 , wherein said camouflage strategies comprise one or more of electromagnetic spectrum, to include ultraviolet, visible, infrared, thermal, and radio frequency, to include RADAR, acoustic, or other signature masking technique.
34 . The system of claim 23 , wherein said sensor information comprises one or more still images.
35 . The system of claim 23 , wherein said sensor information comprises one or more of a live or recorded video.
36 . (canceled)
37 . The system of claim 23 , wherein said sensor information comprises passive sensor information including one or more of a red-green-blue (RGB) video, a grayscale video, a thermal, infrared, or night-vision video, and an ultraviolet video.
38 . The system of claim 23 , wherein said processing platform comprises a mobile edge device for deployment on or in one or more of a battlefield, an austere environment, or an operationally constrained environment. a battlefield.
39 . The system of claim 23 , wherein said sensor information comprises information from multiple sensor systems and said output is based on information from one or more of said multiple sensor systems.
40 . The system of claim 23 , wherein said first processing comprises aggregating the outputs from multiple sensors with different angles and fields of view relative to the target of interest to provide a more complete spatial picture of said target of interest.
41 . The system of claim 23 , wherein said second processing comprises processing said first information using artificial intelligence/machine learning.
42 . The system of claim 23 , wherein said processing platform further receives sensor inputs separate from said sensor information.
43 . The system of claim 23 , wherein said processing platform implements one or both of region of interest and signal of interest processing.
44 . The system of claim 23 , wherein said signature information concerns at least one of motion, vibration, emission, color change, reflectance, or a bio-physiologic signature.
45 . A method for use in defeating and testing camouflage strategies, comprising:
operating a processing platform for:
obtaining video information of an area of interest;
first processing the video information using a temporal process to obtain first signature information indicative of the presence or absence of a target of interest, said temporal process involving segmenting individual frames of said video information into elements and monitoring changes of individual ones of said elements over a timeframe of said video information;
second processing said first signature information to provide an output concerning said presence or absence of said target of interest.
46 .- 128 . (canceled)