A unified carrier cargo rack and storage system for a vehicle including a receiver unit installed in the rear of the vehicle and a modular carrier rack, including a transitional carrier bar, a secondary bar and a cargo carrier bar, wherein the cargo carrier bar is further operable to engage and immobilize cargo; are disclosed as are male and female securing mechanisms.

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 microwave single pixel imager apparatus and method of using same. Sampling a targeted scene includes the following. A plurality of modulated antenna patterns is generated using a reflectarray. A plurality of antenna temperatures respectively corresponding to the plurality of modulated antenna patterns is measured. A retrieved scene corresponding to the sampled targeted scene is generated. Generating a retrieved scene corresponding to the sampled targeted scene includes the following. The plurality of modulated antenna patterns and the corresponding plurality of antenna temperatures are fed into a compressive sensing imaging algorithm.

Embodiments are disclosed that for synthetic aperture radar (SAR) systems and methods that process radar image data to generate radar images using vector processor engines, such as single-instruction-multiple-data (SIMD) processor engines. The vector processor engines can be further augmented with accelerators that vectorize element selection thereby expediting memory accesses required for interpolation operations performed by the vector processor engines.

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 10A includes phase specifying means 11 for specifying a phase of a sample pixel from a plurality of SAR images, clustering means 12 for generating a plurality of clusters by clustering the sample pixels based on correlation of phases of a pair of the sample pixels in the SAR image, and phase statistic data calculation means 13 for calculating phase statistic data capable of grasping a phase statistic regarding the pixel for each of the clusters.

Examples disclosed herein are related to using a machine learning model to generate image data. One example provides a system, comprising one or more processors, and storage comprising instructions executable by the one or more processors to obtain image data comprising an image with unoccluded features, apply a mask to the unoccluded features in the image to form partial observation training data comprising a masked region that obscures at least a portion of the unoccluded features, and train a machine learning model comprising a generator and a discriminator at least in part by generating image data for the masked region and comparing the image data generated for the masked region to the image with unoccluded features.

Provided is a satellite information-based analysis system including a satellite information reception processing unit configured to receive satellite information in a form of raw data from a ground station terminal, to perform demodulation and preprocessing, and to store the satellite information; a standard image generator configured to generate a standard image for the stored satellite information; and an application processing unit configured to process and generate the generated standard image into a utilization image that is classified into a plurality of categories based on an intended use.

A synthetic-aperture radar device of the present invention is the one having: a focal point information storing unit storing a plurality of pieces of focal point information determining positions of focal points; an image reproducing unit reproducing each radar image corresponding to the plurality of pieces of focal point information stored in the focal point information storing unit from a reception signal of a radio wave applied from a moving platform to an observation target and reflected by the observation target; an index calculating unit calculating an index representing an image forming state of the radar image reproduced by the image reproducing unit for each predetermined area; and a synthesizing unit synthesizing the plurality of radar images on the basis of the index calculated from each of the plurality of radar images, enabling obtaining a clear radar image without using positional information of the observation target.

A method for training a trainable module for evaluating radar signals. The method includes feeding actual radar signals and/or actual representations derived therefrom of a scene observed using the actual radar signals to the trainable module and conversion thereof by this trainable module to processed radar signals and/or to processed representations of the respective scene, and using a cost function to assess to what extent the processed radar signals are suited for reconstructing a movement of objects or to what extent the processed representations contain artifacts of moving objects in the scene. Parameters, which characterize the performance characteristics of a trainable module, are optimized with regard to the cost function. A method is also provided for evaluating moving objects from radar signals.