A foreshortening calculating unit of an image processing device calculates the degree of foreshortening in an imaging range at the time of synthetic aperture radar imaging using a flying object on the basis of an orbit at the time of the synthetic aperture radar imaging and elevation data of the earth's surface. A polygon calculating unit calculates a polygon representing an actual outer boundary of the imaging range by calculating an outer boundary of an actual imaging range of the imaging range using the degree of foreshortening. An area determining unit determines, by using the polygon, which of two or more areas determined in an area imaged by the synthetic aperture radar the imaging range belongs to. An added value adding unit performs a process which is performed according to the determined area on an image of the imaging range on the basis of a determination result of the area to which the imaging range belongs from the area determining unit.

A neural network is used to remove noise from a data signal. The noise removed by the neural network is compared to simulated noise that represents noise expected to be present in the data signal. The results of the comparison are used to train the neural network and improve its ability to remove noise from the data signal

Monopulse synthetic aperture radar for fast, high-resolution imaging of ground and/or airborne objects consists set of non-scanning transmitting and receiving antennas with overlap antenna patterns positioned in quadrature or multi-axis directions and covering wide space sector, wherein each of receiving antenna coupled to monopulse processor and separate receiver chain coupled with digital multi-channel processor. Application of monopulse and digital multi-axis multi-channel processing of all signals in receiving chains provides simultaneous fast signal processing from all space sector. Monopulse method in combine with multi-channel digital processing, where amplitudes, phase and frequency components shift of receiving signals processing relative to signals in overlap receiving antennas beams provides 3-5 times higher imaging resolution and allows to suppress influence of media and clutter. Array of directional antennas may be arranged for multi-frequency, multi-mode regimes.

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 method (100) for referencing a digital elevation model (10), involving a step of obtaining (110) two SAR images (12, 14) having a common area (15) that their area of overlap (16, 17) shares with the digital model (10); the method (100) involving, for the SAR images (12, 14), steps of: selecting (120) an AOI (18) in the common area (15); calculating (130) a simulated image (22) in the AOI (18); estimating (140) an offset (di, dj) between the simulated image (22) and the SAR image (12); the method (100) involving steps of selecting a reference point (26) in the AOI (18); projecting (160) the reference point (26) into the SAR images (12, 14) to obtain one connection point per SAR image (12, 14); correcting (170) the connection points by the offsets (di, dj); calculating (180) the readjusted reference point (26); referencing (190) the digital model (10).

A method for correcting a synthetic aperture radar (SAR) antenna beam image comprising: collecting SAR data, forming an uncorrected image, isolating a pixel value from the uncorrected image, performing an inverse image formation on the isolated pixel value to convert the isolated pixel value into a phase history, calculating actual isolated pixel value location in the uncorrected image, computing range loss, antenna beam, and phase corrections for the isolated pixel value, interpolating range loss corrections, antenna beam pattern corrections, and phase corrections in the phase history, applying the interpolated corrections to the isolated pixel value phase history thereby forming a corrected phase history, converting the corrected phase history back into a corrected image, replacing the corresponding uncorrected pixel value in the uncorrected image with the corrected isolated pixel value, and repeating this process for all uncorrected pixel values thereby providing a corrected SAR image.

The data processing device 1 includes a coherence matrix calculation unit 2 which calculates a coherence matrix representing correlation of pixels at the same position in multiple complex images, a spatial correlation generator 3 which generates data representing prior information regarding spatial correlation being correlation of pixels in each of the multiple complex images, and a phase difference estimation unit 4 which merges the correlation of pixels regarding the coherence matrix and the spatial correlation, and calculates a statistically likely and consistent phase difference based on merged correlation as a denoised phase difference.

An object scanning device generates an image of a radio wave scatterer that is a measurement subject disposed in a measurement area based on reflected waves of radio waves including a plurality of frequencies radiated to the radio wave scatterer, and includes a phase composite image generation unit that generates a phase composite image into which a plurality of images obtained through imaging based on the reflected waves are composed by performing complex addition for each pixel of the plurality of images.

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.

The image analysis device 100 includes a complex matrix calculation unit 11 which calculates a complex matrix that reflects a phase difference in all pairs of images in multiple images in which a same region is recorded, a parameter candidate selection unit 12 which selects multiple candidates of parameter which explains a phase shift, a candidate evaluation unit 13 which evaluates likelihood of the multiple candidates using the complex matrix and a predetermined weight matrix, and a statistics calculation unit 14 which weights the candidates of parameter by the likelihood and calculates statistics of the candidates of parameter.