The synthetic aperture radar image processing device includes time-series analysis unit which extracts persistent scatterers from time-series observation data for the observation direction for an observation area observed from multiple observation directions by a radar, and calculating displacement speeds of the extracted persistent scatterers, clustering unit which generates reflection point clusters by clustering extracted persistent scatterers based on their phase and position, distance calculation unit which calculates a distance between each of the persistent scatterers included in the reflection point clusters and each structure included in the observation area, representative value calculation unit which calculates each representative value for the distance between each persistent scatterer and each structure, for each reflection point cluster, and corresponding structure determination unit which associates the structure corresponding to the smallest representative value with the persistent scatterer, for each reflection point cluster.

A system and method for identifying damage to an embankment includes acquiring satellite imagery of an area of the embankment, generating a set of input data from the satellite imagery, removing at least one anomaly in the set of input data to obtain a cleaned set of input data, and identifying the damage by determining a dam motion area indicative of ground motion in the embankment from the cleaned set of input data and determining an anomalous vegetation area and an anomalous wetness area indicative of seepage in the embankment from the cleaned set of input data.

Methods, systems, and devices for wireless communications are described. User equipment (UE), such as vehicles, may implement radar transmissions to detect and avoid potential collisions with a target such as other UE or pedestrians. A first UE may receive an indication of a location of a second UE and an indication of one or more parameters associated with radar transmission from the second UE. The first UE may also receive a radio frequency waveform that includes a first component associated with the radar transmissions from the second UE and a second component that is associated with reflected radar transmission from the first UE. The first UE may compensate for an interference from the first component based on the location of the second UE and the one or more parameters. The first UE may generate a radar image from the received radio frequency waveform based on compensating for the interference.

A computer-implemented method executed by one or more satellites for assessing crop development by using synthetic aperture radar (SAR) is presented. The method includes generating SAR images from scanning fields including crops, monitoring grown of the crops within the fields during a predetermined time period, and estimating a height of the crops during the predetermined time period by using interferometric information from one or more of the SAR images and tracking change in height and growth rates. The method further includes differentiating between crops in different fields by monitoring changes in the height of the crops during an entire growing season.

A method for monitoring surface deformations of a scenario by means of differential interferometry technique, including the steps of prearranging a radar sensor having a transmitting antenna and a receiving antenna arranged to transmit and acquire radar signals, the radar sensor arranged to move along a planar trajectory γ having centre O; defining a reference system S having origin in the centre O; acquiring by SAR technique the scenario by means of handling the radar sensor along the planar trajectory γ, the radar sensor being configured so that the radiation pattern of the antennas is oriented radially with respect to the centre O, the acquisition occurring at points of acquisition s.sub.i arranged on the trajectory γ, the three-dimensional position of each target point t.sub.i being definable by means of spherical coordinates (ρ.sub.i,θ.sub.i,β.sub.i).

The system and method represents a high-resolution, three-dimensional, multi-static precipitation RADAR approach that employs agile microsatellites, in formation and remotely coupled. This system and method uses multi-static RADAR interferometric methods implemented via a microsatellite formation to synthesize an effectively large (e.g., 15 m when using the Ku RF band) aperture to provide about 1 km horizontal resolution and about 125 m vertical resolution.

A millimeter wavelength charting synthetic aperture radar having small dimensions and light weight, carried by an UAV (unmanned aerial vehicle), also referred to as a drone.

The present image generation device includes an acquisition unit that acquires an interference SAR (synthetic aperture radar) image relating to an earth ground surface of a predetermined range and generated based on a plurality of SAR images generated by reflecting radio waves received from a SAR satellite by a reflecting plate disposed at a predetermined point, a bird's-eye view image relating to the earth ground surface, and ground point data including coordinates of the predetermined point on the earth ground; and an image generation unit that specifies the predetermined point in the bird's-eye view image based on the ground point data, and generates an integrated image by combining the predetermined point specified in the interference SAR image, the interference SAR image and the bird's-eye view image with a reference of the predetermined point.

Example imaging systems are disclosed. One example includes a signal source and a signal receiver configured to receive a reflected electromagnetic signal from an imaged object. The imaging system further includes a processor configured to, for each of N wavelengths, determine a phase value of a reflected component of the reflected electromagnetic signal having that wavelength. The processor may compute an estimated distance to the imaged object at least in part by mapping the plurality of phase values to a 2N-dimensional vector, and computing a plurality of zeroes of a trigonometric polynomial. For each of the plurality of zeroes, computing the estimated distance may further include computing a respective geodesic distance between the 2N-dimensional vector and a point along the curve evaluated at that zero, and selecting and outputting a shortest geodesic distance multiplied by a least common multiple of the wavelengths.

A process and systems for constructing arbitrarily large virtual arrays using two or more collection platforms (e.g. AUX and MOV systems) having differing velocity vectors. Referred to as Motion Extended Array Synthesis (MXAS), the resultant imaging system is comprised of the collection of baselines that are created between the two collection systems as a function of time. Because of the unequal velocity vectors, the process yields a continuum of baselines over some range, which constitutes an offset imaging system (OIS) in that the baselines engendered are similar to those for a real aperture of the same size as that swept out by the relative motion, but which are offset by some (potentially very large) distance.