A weather depiction system for an aircraft is disclosed. A radar is configured to scan a surrounding environment of the aircraft and provide weather data. An aircraft computing device is configured to: detect weather patterns using the weather data, receive a flight trajectory of the aircraft from a flight management system (FMS), compare the flight trajectory to an altitude of each of the weather patterns, identify the weather pattern as relevant or non-relevant based on the comparison, and present symbols corresponding to the relevant weather patterns on the weather display and exclude symbols corresponding to the non-relevant weather patterns on the weather display.

Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.

An apparatus for composition for dual-polarization weather radar observation data includes: a coordinate system converting unit that converts a reference grid of an orthogonal coordinate system into a grid of a dual-polarization weather radar spherical coordinate system based on a latitudinal-longitudinal coordinate system for each individual dual-polarization weather radar by using an earth spherical coordinate system; a CAPPI data generating unit that generates CAPPI data based on the orthogonal coordinate system after mapping individual items of dual-polarization weather radar observation data on grid coordinates of the dual-polarization weather radar spherical coordinate system; and a CAPPI data compositing unit that performs composition of CAPPI data for each of the individual dual-polarization weather radars located at the same coordinate of the orthogonal coordinate system obtained by mapping the individual items of dual-polarization weather radar observation data thereon.

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.

The disclosed subject matter relates to Frequency Diversity Pulse Pair (FDPP) methods and technology implemented by, alternating the order of the pulse pair transmitted or order of the group of multiple pulses transmitted, the pulses differentiated based on the center frequency of each transmitted pulse. For example, where a pair of transmitted pulses have center frequencies f.sub.1 and f.sub.2, the pulses transmitted in pairs such that the first pair may be f.sub.1 followed by f.sub.2 and the second pair are a different order, such as f.sub.2 followed by f.sub.1.

Methods and systems of displaying weather data for a cockpit display system of an aircraft. The methods and systems include generating a display to include a first graphical map of real-time weather data from a weather radar. The display further includes a notification graphic associated with a portion of part of a displayed flight plan in which a significant weather condition exists. When the notification graphic is selected, the display includes the first graphical map of the real time weather data based on weather data from the weather radar and a second graphical map of significant weather conditions data derived from transmitted weather data.

A communications system includes cellular devices and cellular base stations in communication with the cellular devices in a first frequency band. A non-geostationary satellite may include sensing circuitry operable in a second frequency band susceptible to interference from the first frequency band. Each cellular base station may include a controller and a transceiver cooperating therewith. The controller may be configured to store satellite path data for the non-geostationary satellite, determine when the satellite path data indicates interference would otherwise be experienced by the non-geostationary satellite, and implement an interference mitigation action in cooperation with associated cellular devices based upon the satellite path data indicating interference would otherwise be experienced by the non-geostationary satellite.

A method of calculating ionospheric scintillation includes calculating a motion-corrected perturbation of a GNSS radio signal received by a monitoring device deployed in an oceanic environment. The method includes calculating the σφ using the high rate phase of the GNSS signal adjusted by removing the change in distance between the monitoring device and the GNSS satellite. The calculating the σo may further include passing the adjusted high rate phase through a high pass filter to remove a drift motion of the monitoring device. The method further includes calculating the S4 through calculating a tilt angle between the antenna of the monitoring device with the GNSS satellite and adjusting the antenna gain through known gain pattern of the antenna. The wave height of the oceanic environment may be calculated by detrending the antenna height to remove low frequency motion when a high rate position of the monitoring device is calculated.

According to an exemplary embodiment of the present disclosure, a method of classifying a precipitation type based on deep learning performed by a computing device is disclosed. The method may include: receiving first sensor data and second sensor data measured in a satellite; and generating training data based on at least a part of the first sensor data overlapping the second sensor data.

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.