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.

The present disclosure provides a synthetic aperture radar (SAR) image target detection method. The present disclosure takes the anchor-free target detection algorithm YOLOX as the basic framework, reconstructs the backbone feature extraction network from the lightweight perspective, and replaces the depthwise separable convolution in MobilenetV2 with one ordinary convolution and one depthwise separable convolution. The number of channels in the feature map is reduced by half through the ordinary convolution, features input from the ordinary convolution are further extracted by the depthwise separable convolution, and the convolutional results from the two convolutions are spliced. The present disclosure highlights the unique strong scattering characteristic of the SAR target through the attention enhancement pyramid attention network (CSEMPAN) by integrating channels and spatial attention mechanisms. In view of the multiple scales and strong sparseness of the SAR target, the present disclosure uses an ESPHead.

A system for localization includes a radar, a database, a simulator, a registrar, and a filter. The radar is positioned at a disposed location requiring localization. The radar generates a radar image scanning a proximity around the disposed location. The database stores features of a landmass. The simulator generates synthesized images of the features that the radar is predicted to generate from corresponding viewpoints. The registrar calculates respective correlation indicators between the radar image and each synthesized image. The filter sets a pose estimate of the disposed location to an average of those viewpoints from which correspond the synthesized images having the best or better ones of the correlation indicators.

Various embodiments of the present technology relate to system, methods, and devices for capturing, processing, and rendering synthetic aperture radar data captured by a radar-based imaging system on graphical processing units based on a hive-cell mapping using a tessellation of a Goldberg polyhedron. In some embodiments, SAR data is produced by a radar-based imaging system. A computing apparatus receives the SAR data and associates at least a portion of the SAR data to one or more cells of a Goldberg polyhedron that covers the globe in approximately equally sized hexagonal or pentagonal cells based at least on a location of the SAR data. The computing apparatus provides the portion of the SAR data associated with one or more cells of the Goldberg polyhedron to one or more GPUs, and then processes the SAR data on each of the one or more GPUs to construct images from the SAR data.

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.

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.

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.

The invention relates to a radar system for capturing surroundings of a moving object, in particular a vehicle and/or a transportation apparatus, such as a crane, in particular, wherein the system is mounted or mountable on the moving object, wherein the radar system comprises at least two non-coherent radar modules (RM 1, RM 2, . . . RM N) having at least one transmitter antenna and at least one receiver antenna, wherein the radar modules (RM 1, RM 2, . . . RM N) are arranged or arrangeable in distributed fashion on the moving object, wherein provision is made of at least one evaluation device which is configured to process transmitted and received signals of the radar modules to form modified measurement signals in such a way that the modified measurement signals are coherent in relation to one another.

A system for localization includes a radar, a database, a simulator, a registrar, and a filter. The radar is positioned at a disposed location requiring localization. The radar generates a radar image scanning a proximity around the disposed location. The database stores features of a landmass. The simulator generates synthesized images of the features that the radar is predicted to generate from corresponding viewpoints. The registrar calculates respective correlation indicators between the radar image and each synthesized image. The filter sets a pose estimate of the disposed location to an average of those viewpoints from which correspond the synthesized images having the best or better ones of the correlation indicators.

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.