A system and method for ground calibration of an aircraft weather radar (WR) employs a calibrated WR already flight tested on a reference aircraft to generate a ground reference map from a specific ground position on a specific heading. A WR alignment tool receives the ground reference map and compares it to an uncalibrated ground map generated by an uncalibrated WR in the same ground position and on the same heading. Once compared, the alignment tool determines a delta between the ground reference map and the uncalibrated ground map and determines offset values in pitch, roll, and elevation to reduce the delta to a desired operational value and make the maps nearly identical. The alignment tool then applies to offset values to the uncalibrated WR to calibrate the WR for operational use.

In an embodiment, a method for completing measurements for a uniform linear array from measurements from a sparse linear array is provided. The method includes: receiving a first set of measurements for a sparse linear array by a computing device; generating a second set of measurements for a uniform linear array from the first set of measurements by the computing device; and using matrix completion to determine values for a plurality of missing elements of the generated second set of measurements for the uniform linear array by the computing device.

A radar image processing device includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: determine a search range based on a reference block and a layover direction, the reference block being set as an area of interest in a radar image generated from data obtained by an imaging radar, the layover direction being a direction in which layover occurs in the radar image and being estimated from an incident direction of an electromagnetic wave used for observation by the imaging radar; extract a similar block that is similar to the reference block and included in the search range by searching the search range; and perform filtering processing for reducing speckles generated in the radar image by using the reference block and the extracted similar block.

Disclosed are a method and an apparatus for end-to-end SAR image recognition, and a storage medium. According to the disclosure, a generative adversarial network is used to enhance data and improve data richness of a SAR image, which is beneficial to subsequent network training; a semantic feature enhancement technology is also introduced to enhance semantic information of a SAR deep feature by a coding-decoding structure, which improves performances of SAR target recognition; and meanwhile, an end-to-end SAR image target recognition model with high integrity for big scenes like the Bay Area is constructed, which is helpful to improve a synthetic aperture radar target recognition model for big scenes like the Bay Area from local optimum to global optimum, increases the stability and generalization ability of the model, reduces the network complexity, and improves the target recognition accuracy.

A radar image processing device performs determination of a pixel including a ghost image and changes the value of the pixel which is determined to include the ghost image on a radar image the focus of which has been changed.

Embodiments include a system and a method for determining a geographic location corresponding to pixels in a scan. For a scan of an area including a plurality of pixels, measurements of at least one physical property may be received. An embodiment may include identifying in the scan at least a first pixel and a second pixel corresponding to known at least a first and a second geographical locations; creating a set of pixel values vectors, for each pixel values vector calculating a correlation factor between the pixel values vector and a vector that includes the measurements; selecting a pixel values vector, from the set of pixel values vectors, for which a correlation factor higher than a threshold value was calculated; and determining the actual geographic location of the area represented by each pixel in the selected pixel values vector based on the known geographic locations.

Systems and methods for satellite Synthetic Aperture Radar (SAR) artifact suppression for enhanced three-dimensional feature extraction, change detection, and/or visualizations are described. In some aspects, the described systems and methods include a method for suppressing artifacts from complex SAR data associated with a scene. In some aspects, the described systems and methods include a method for creating a photo-realistic 3D model of a scene based on complex SAR data associated with a scene. In some aspects, the described systems and methods include a method for identifying three-dimensional (3D) features and changes in SAR imagery.

A synthetic aperture radar (SAR) system and method of operation advantageously implements dynamic self-cueing or autonomous cueing of successive high-resolution SAR data collection based on previously collected wide-swath SAR data, for instance without the intervention of ground-based resources. For example, target detection may be performed on-board a spaceborne or airborne SAR platform using wide-swath SAR data acquired via a first beam at a first frequency band, the first beam pointed at a first angle relative to an along-track direction. Subsequent activities are cued by the platform based on the previously collected wide-swath SAR data. For instance, the SAR platform may cue subsequent acquisition of SAR data via a second beam at a second frequency band, the second beam pointed at a second angle relative to an along-track direction. The SAR platform may advantageously employ a multi-band SAR antenna.

A method and apparatus for receiving signals from an unknown transmitting source and providing the location of the unknown transmitting source comprising a series of channels for receiving signals radiated by the unknown transmitting sources, generating preprocessed time domain data and generating a SAR image depicting a location of the unknown transmitting source, and a processor for processing the preprocessed time domain data to enhance a pixel value at each pixel location within the SAR image by summing signal data from each channel related to each pixel location to generate an enhanced SAR image.

A system is provided for synthetic aperture radar image formation within a distributed network. A radar antenna receives successive echoes of a plurality of pulses of radio waves transmitted in an environment of a target. A processing system defines, from the successive echoes, an array of data elements representing a density of a reflective surface of the target at locations within the environment. The processing system also partitions the array into a plurality of subarrays based on a predefined array partitioning scheme. A respective node of a plurality of nodes receives and applies at least one algorithmic transform to a subarray of the plurality of subarrays, and determines a respective portion of a volume of space occupied by the target based thereon. The respective portion is combinable with other respective portions to determine the volume of space and thereby form an image of the target.