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.

The image processing device 10 includes intensity calculation means 11 for calculating intensity of the sample pixel, neighboring pixel selection means 12 for selecting neighboring pixels that have a similar statistical property of intensity to the sample pixel, based on the intensity of the sample pixel, phase specifying means 13 for specifying phases of the neighboring pixels, and pixel classification means 14 for classifying the neighboring pixels based on correlation of the phases of the neighboring pixels.

The present disclosure provides an electromagnetic imaging device for an active microwave and millimeter wave security inspection apparatus, including: a two-dimensional multiple-input multiple-output array panel including at least one sub-array, wherein each sub-array includes a plurality of transmitting antennas arranged linearly and a plurality of receiving antennas arranged linearly, the plurality of transmitting antennas arranged linearly being intersected with the plurality of receiving antennas arranged linearly; a signal processing device; a display device; and a ranging radar. In each sub-array, a midpoint of a connection line between each transmitting antenna and a corresponding receiving antenna serves as a virtual equivalent phase center of a pair of the each transmitting antenna and the corresponding receiving antenna, and the plurality of transmitting antennas and the plurality of receiving antennas are arranged to generate an equivalent phase center web. A distance between adjacent transmitting antennas or a distance between adjacent receiving antennas is equal to a wavelength of the electromagnetic wave with the specific frequency, and a distance between adjacent equivalent phase centers in the equivalent phase center web generated ranges from 30% to 70% of the wavelength of the electromagnetic wave with the specific frequency.

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 synthetic-aperture radar (SAR) antenna emits radar pulses and receives their reflections. SAR is typically used on a moving platform, such as an aircraft, drone, or spacecraft. Since the position of the antenna changes between the time of emitting a radar pulse and receiving the reflection of the pulse, the synthetic aperture of the radar is increased, giving greater accuracy for a same (physical) sized radar over conventional beam-scanning radar. The pulse data is processed, using a backprojection algorithm, to generate a two-dimensional image that can be used for navigation. The order in which the SAR data is processed can impact the likelihood of cache hits in accessing the data. Since accessing data from cache instead of memory storage reduces both access time and power consumption, devices that access more data from cache have greater battery life and range.

An imaging system to reconstruct a reflectivity image of a scene including an object moving with the scene. A tracking system to track a deforming object to estimate an object deformation for each time step. Sensors acquire snapshots of the scene, each acquired snapshot of the object includes measurements in the object deformation for that time step, to produce a set of object measurements with deformed shapes over the time steps. Compute a correction to estimates of object deformation for each time step, with matching measurements of the corrected object deformation for each time step to measurements in the acquired snapshot of object for that time step. Select a corrected deformation over other corrected deformations for each time step, according to a distance between the corrected deformation and the estimate of the deformation, to obtain a final estimate of the deformation of the deformable object moving in the scene.

A system and method for ground calibration of an aircraft weather radar (W×R) employs a calibrated W×R already flight tested on a reference aircraft to generate a ground reference map from a specific ground position on a specific heading. A W×R alignment tool receives the ground reference map and compares it to an uncalibrated ground map generated by an uncalibrated W×R 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 W×R to calibrate the W×R for operational use.

The present disclosure provides systems and methods for generating a red-green-blue (RGB) image from synthetic aperture radar (SAR) data. An example method comprises (a) obtaining said SAR data; (b) pre-processing said SAR data to generate pre-processed SAR data; and (c) processing said pre-processed SAR data with a generative neural network to generate said RGB image.

A signal processing device sets the value of a hyperparameter for array signal processing in synthetic aperture radar tomography, by using a SAR image group of a phase reference point at which phase reference point known information, which is information pertaining to the position of a reflector, is obtained; and performs SAR image group generation processing, using the array signal processing in which the value of the hyperparameter was used.

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.