A ground control point device includes an SAR wave reflector configured to receive an SAR wave incident from an SAR in an incident direction and to reflect the SAR wave in the incident direction; a GNSS receiver configured to receive a GNSS wave to generate, based on the GNSS wave, time information and positional information indicative of a position of a control point; an SAR wave receiver configured to receive the SAR wave; and a control point data generator/transmitter configured to generate control point data obtained by associating the positional information when the SAR receiver receives the SAR wave with a time instant of reception of the SAR wave that is determined based on the time information, and to transmit the control point data to outside.

A system and a method for determining infrastructure risk zones is disclosed. The system and method may include: receiving, from a radiofrequency (RF) radiation sensor, a first scan of an area, wherein the area at least partially comprises the infrastructure; receiving additional data; filtering electromagnetic noise from the first scan using the additional data; receiving infrastructure location in the area; determining an examination zone around the infrastructure; estimating the amount of clay in soil included in the examination zone, from the filtered scan; calculating soil moisture content at locations in the examination zone, from the filtered scan; and determining location at risk having soil moisture content above a predetermined threshold, wherein the threshold may be determined based on the estimated clay amount.

An agricultural machine includes a soil roughness system mounted to the machine. The soil roughness (SR) system includes at least one radar unit configured to emit signals, receive reflected signals, and generate radar signals. The reflected signals are the emitted signals reflected from a field. The SR system further includes a controller communicatively coupled to the at least one radar unit. The controller is configured to generate soil roughness values of the field based at least upon the radar signals. The controller or an operator of the machine may then adjust properties of an agricultural implement based upon the soil roughness values.

A Van Atta antenna array comprising a number of antenna elements electrically connected to operate as a Van Atta antenna array and fabricated on and within a substrate. Each antenna element has a number of patch elements fabricated on the top surface of the substrate, with the patch elements being interconnected by substrate integrated waveguides. The antenna array provides a two-dimensional retro-reflective surface, which makes it especially suitable for InSAR monitoring of infrastructures.

The present application relates to a method and apparatus for generating a three-dimensional point cloud generation using a polarimetric camera in a drive assistance system equipped vehicle including a camera configured to capture a color image for a field of view and a polarimetric data of the field of view, a processor configured to perform a neural network function in response to the color image and the polarimetric data to generate a depth map of the field of view, and a vehicle controller configured a perform an advanced driving assistance function and to control a vehicle movement in response to the depth map.

The present application relates to a method and apparatus for generating a three-dimensional point cloud generation using a polarimetric camera in a drive assistance system equipped vehicle including a camera configured to capture a color image for a field of view and a polarimetric data of the field of view, a processor configured to perform a neural network function in response to the color image and the polarimetric data to generate a depth map of the field of view, and a vehicle controller configured a perform an advanced driving assistance function and to control a vehicle movement in response to the depth map.

Trapped or confined individuals may be located and rescued by detecting their vital signs (e.g., chest movement or heart beat) using reflected, radio frequency signals over a range of multiple antenna polarities.

A subsurface interferometric synthetic aperture radar (InSAR) imaging technique for the detection and localization of underground targets in the presence of a rough ground surface comprises a two-step procedure. First, surface clutter suppression is performed with a polarimetric difference operation that does not alter the propagation phase of the target scattered signal; then a subsurface interferometric algorithm is applied to infer target depth by correlating the clutter-suppressed images obtained along two observation paths.

Optical images in remote sensing are contaminated by cloud cover and bad weather conditions and are only available during the daytime. Whereas SAR images are completely cloud free, independent of weather conditions and can be acquired both during the day and at night. However, due to the speckle effect and side looking imaging mechanism of SAR images, they are not easily interpretable by untrained people. To address this issue, the present disclosure provides a method and system for LULC guided SAR visualization, wherein a GAN is trained to translate SAR images to optical images for visualization. A given SAR image is fed into a first generator of the GAN to obtain LULC map which is then concatenated with the SAR image and fed into a second generator of the GAN to generate an optical image. The LULC map provides semantic information required for generation of more realistic optical image.

A synthetic aperture radar (SAR) system generates an image of a first swath. The SAR includes at least one SAR antenna, at least one SAR processor and at least one SAR transceiver. In operation the SAR defines a first beam to illuminate the first swath and one or more second beams to illuminate area(s) of ambiguity associated with the first beam. The SAR transmits a pulse via the first beam and receives backscatter energy. The SAR generates a first signal associated with the first beam and one or more second signals associated with the second beam(s). The second signal(s) are combined with determined complex vector(s), generating ambiguity signal(s) and the ambiguity signals are combined with the first signal to generate an image associated with the first swath.