A deployable airborne sensor array system and method of use are provided herein. The system includes a tether configured to be coupled to and deployed from an aircraft and a plurality of airborne vehicles coupled to the tether. Each of the plurality of airborne vehicles includes different lift characteristics to form a three-dimensional (3D) array of airborne vehicles. Each airborne vehicle includes a sensing device configured to generate sensor data associated with a target. The system also include a computing device configured to process the sensor data received from each of the plurality of airborne vehicles and generate an image of the target based on the sensor data.

A method of determining geo-reference data for a portion of a measurement area includes providing a monitoring assembly comprising a ground station, providing an imaging assembly comprising an imaging device with a lens operably coupled to an aerial device, hovering the aerial device over a measurement area, capturing at least one image of the measurement area within the imaging device, transmitting the at least one image to the ground station using a data transmitting assembly, and scaling the at least one image to determine the geo-reference data for the portion of the measurement area by calculating a size of a field-of-view (FOV) of the lens based on a distance between the imaging device and the measurement area.

Described is a system for onboard, real-time, activity detection and classification. During operation, the system detects one or more objects in a scene using a mobile platform and tracks each of the objects as the objects move in the scene to generate tracks for each object. The tracks are transformed using a fuzzy-logic based mapping to semantics that define group activities of the one or more objects in the scene. Finally, a state machine is used to determine whether the defined group activities are normal or abnormal phases of a predetermined group operation.

Search points in a search space may be projected onto images from cameras imaging different parts of the search space. Subimages, corresponding to the projected search points, may be selected and processed to determine if a target object has been detected. Based on subimages in which target objects are detected, as well as orientation data from cameras capturing images from which the subimages were selected, positions of the target objects in the search space may be determined.

Various embodiments associated with a composite image are described. In one embodiment, a handheld device comprises a launch component configured to cause a launch of a projectile. The projectile is configured to capture a plurality of images. Individual images of the plurality of images are of different segments of an area. The system also comprises an image stitch component configured to stitch the plurality of images into a composite image. The composite image is of a higher resolution than a resolution of individual images of the plurality of images.

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

A laser radiation system is provided with a search radiation section that radiates search light to a target object, a laser radiation section that radiates a laser beam, an image acquisition section that acquires a first image in which the target object irradiated with the search light is imaged and a second image in which an imaging range including the target object is imaged, a generation section that generates, based on the first and the second images, a generated image in which an influence by disturbance light is less than in the first image, and a radiation control section that controls, based on the generated image, a direction in which the laser radiation section radiates the laser beam. In addition, in the present laser radiation system, an intensity Intensity of the search light by which an image is formed in the second image is smaller than an intensity of the search light by which an image is formed in the first image.

A laser radiation system provided with a search radiation section that radiates search light to a target object, a laser radiation section that radiates a laser beam, an image acquisition section that acquires a first image in which the target object irradiated with the search light is imaged and a second image in which an imaging range including the target object is imaged, a generation section that generates, based on the first and second images, a generated image in which an influence by disturbance light is less than in the first image, and a radiation control section that controls, based on the generated image, a direction in which the laser radiation section radiates the laser beam. Intensity of the search light by which an image is formed in the second image is smaller than an intensity of the search light by which an image is formed in the first image.

A tracking system for a target flight vehicle includes at least two sensor nodes that are positioned at geographically diverse locations relative to a launch site from which the target flight vehicle is launched. The sensor nodes have a lens and a visible camera that captures images of an anticipated launch trajectory for the target flight vehicle. The sensor nodes determine position data for the target flight vehicle including timing, azimuth, and elevation based on the captured images. A fusion processing engine is communicatively coupled to the at least two sensor nodes for receiving and integrating the position data. The data is integrated to determine real-time state vectors including a velocity and a three-dimensional position for the target flight vehicle. The state vectors are sent to a range network that is configured to implement a flight termination system for the target flight vehicle based on the state vectors.

A remote-controlled weapon system, mounted in a moving platform, includes at least one processor that implements: a first posture calculator that calculates a first pixel movement amount corresponding to a posture change amount of a camera during a time interval between a first image and a second image, received after the first image; a second posture calculator that calculates a second pixel movement amount corresponding to a control command for changing a posture of the camera to match a moving target, detected from the second image, with an aiming point; and a region of interest (ROI) controller that calculates a third pixel movement amount corresponding to vibration of the camera based on the first pixel movement amount and the second pixel movement amount, and estimate a location of an ROI that is to be set on the moving target of the second image, based on the third pixel movement amount.

A method and a system for enhancing contrast for an electro-optical video for live streaming is disclosed. An image block from an electro-optical frame of a video is received, where a number of pixels in the image block are identified to compute intensity of the image block. A distribution of intensity of the number of pixels in the image block is determined, and from the distribution, a degree of variation is determined, where a lower threshold and upper threshold for the intensity are determined. An upper set of pixels and a lower set of pixels is determined, which is then used to modify the distribution. The degree of variation is modified to determine uniformity in distribution intensity. A transform using the uniformity is constructed to enhance the contrast of the image block. The contrast of all image blocks of the electro-optical is enhanced by applying the transform.