A hostile intention assessment and method wherein a tracking sensor subsystem tracks targets (12, 14) relative to a critical asset (10') Determinations are made to determine if a first target (12) is approaching a second target (14), and to assess if the second target (14) is approaching the critical asset (10'). If the first target (12) is approaching the second target (14) to hide in the radar shadow thereof and the second target (14) is approaching sufficiently close to the critical asset (10'), an alert (20) is generated.

Hostile intention assessment system and method

An automatic target recognition system with adaptive metric selection. The novel system includes an adaptive metric selector for selecting a match metric based on the presence or absence of a particular feature in an image and a matcher for identifying a target in the image using the selected match metric. In an illustrative embodiment, the adaptive metric selector is designed to detect a shadow in the image and select a first metric if a shadow is detected and not cut off, and select a second metric otherwise. The system may also include an automatic target cuer for detecting targets in a full-scene image and outputting one or more target chips, each chip containing one target. The adaptive metric selector adaptively selects the match metric for each chip separately, and may also adaptively select an appropriate chip size such that a shadow in the chip is not unnecessarily cut off.

Adaptive match metric selection for automatic target recognition

High resolution SAR images of a target scene at near video rates can be produced by using overlapped, but nevertheless, full-size synthetic apertures. The SAR images, which respectively correspond to the apertures, can be analyzed in sequence to permit detection of movement in the target scene.

Synthetic aperture design for increased SAR image rate

Systems and methods for identifying and uniquely displaying ground features (terrain/obstacles) that are shadowed from an aircrafts radar system. An example system includes one or more aircraft information, sources, a database that stores three-dimensional terrain/obstacle data, a display device, and a processor in data communication with the one or more aircraft information sources and the database. The processor receives aircraft position, heading and altitude information from the one or more aircraft information sources. The processor projects a vector in a three-dimensional digital space onto the three-dimensional terrain/obstacle data stored in the database based on the received aircraft position, heading and altitude information to determine if the projected vector intersects more than one terrain feature. If the feature is intersected by the vector and the feature is further away from the aircraft than another feature that is also intersected by the vector, it is uniquely displayed on the display device.

Methods and systems for producing an interpretive airborne radar map

Power spectral feature correction-based radar target identification method under noise background

Targets imaged by radar systems typically have shadows associated with them.
Target detection and identification is enhanced by analyzing the shadow characteristics
of a suspected target. Features of the shadow cast by the suspected target
enhance the identification process. Authenticating the suspected target shadow as
being indeed cast by the target comprises
 a) Generating a radar image using radar returns , the radar image containing
both the target and its suspected target shadow; b) Forming a pentagonal perimeter (404) adjacent to the target located within
the radar image, the pentagonal perimeter chosen to contain the suspected target
shadow, the pentagonal perimeter separating the target (402) from its suspected
target shadow; c) Testing the suspected target shadow within said pentagonal perimeter(404)
to authenticate that the suspected target shadow is cast by the target. One aspect of the testing performed on the suspect target shadow uses a 2 by
2 dilation and majority filter (309). Other tests performed are an adjacent overlap
test ((311), an edge pixel count test (313), a maximum area and minimum distance
test (315) as well as an area threshold test (317). The original radar image is converted to a magnitude only form from its I and
Q components and a magnitude thresholding is applied to the radar image to obtain
a binary image.

A target shadow detector for synthetic aperture radar

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A target shadow detector for synthetic aperture radar