Architectures and techniques for radar interference detection are provided. A radar sensor system in accordance with the present disclosure may receive, via a radio frequency (RF) receiver, radar signals including a radar signal of interest and one or more interfering radar signals. The radar sensor system may calculate a Doppler spectrum for each of the radar signals and perform a chirplet transform on the Doppler spectrum to generate various waveform parameters. A Principal Component Analysis (PCA) may be performed on the waveform parameters to extract frequency features of the radar signals. The radar sensor system may classify the frequency features using a classifier to identify interfering frequency features associated with the interfering radar signals using a classifier. The radar sensor system may further extract interfering waveform information based on the interfering frequency features of the interfering RF signals. Interference mitigation may be performed utilizing the interfering waveform information.

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 may include a memory and a processor cooperating therewith to obtain geospatially registered first and second interferometric synthetic aperture radar (IFSAR) images of a geographic area having respective first and second actual grazing angles with a difference therebetween, and convert the first IFSAR image to a modified first IFSAR image having a modified first grazing angle based upon known terrain elevation data for the geographic area. The modified first grazing angle may be closer to the second actual grazing angle than the first actual grazing angle. The processor may further recover updated terrain elevation data for the geographic area based upon the modified first IFSAR image and the second IFSAR image.

A method (100) for referencing a digital elevation model (10), involving a step of obtaining (110) two SAR images (12, 14) having a common area (15) that their area of overlap (16, 17) shares with the digital model (10); the method (100) involving, for the SAR images (12, 14), steps of: selecting (120) an AOI (18) in the common area (15); calculating (130) a simulated image (22) in the AOI (18); estimating (140) an offset (di, dj) between the simulated image (22) and the SAR image (12); the method (100) involving steps of selecting a reference point (26) in the AOI (18); projecting (160) the reference point (26) into the SAR images (12, 14) to obtain one connection point per SAR image (12, 14); correcting (170) the connection points by the offsets (di, dj); calculating (180) the readjusted reference point (26); referencing (190) the digital model (10).

The present disclosure provides a method and a system for precise location of a high slope collapse area. Firstly, the slope images in a long time series are obtained, the slope images in the long time series are composed into a two-dimensional slope deformation graph, and an area with the maximum deformation in the two-dimensional slope deformation graph is selected as a deformation area. Then, the deformation area is segmented by straight line, and the deformation region obtained by straight line segmentation is displayed in overlapping way in the slope images of long time series, and the region corresponding to the connecting line with the largest change range is selected as the monitoring line area from the overlapping image. Finally, the monitoring points are selected from the monitoring line area to determine the location of the high slope collapse area.

The present invention relates a remote sensing system, or particularly a satellite-formation-based remote sensing system, wherein comprising: a master satellite provided with an SAR system as a payload thereof, a first concomitant satellite, and a second concomitant satellite, wherein the first concomitant satellite and the second concomitant satellite fly around the master satellite, and the master satellite is located on major axes of motion trajectories of the first concomitant satellite and the second concomitant satellite, so as to define a first spatial baseline and a second spatial baseline that have an identical cross-track baseline component. The present invention enables high-precision, wide-range, three-dimensional imaging based on the satellite-formation, while acquires spatiotemporal features of variation of a ground region according to the synchronization in terms of time, frequency, and space.

The image analysis device 100 includes a pixel selection unit 11 which selects multiple pixels at a plurality of positions in one image among multiple images in which the same area is recorded, a dimension reduction unit 12 which compresses a complex vector as an evaluation value when an evaluation function is optimized into a low-dimensional space, an expanding unit 13 which returns a compression result by the dimension reduction unit 12 to an original pixel space, and calculates a spatial correlation phase estimate; and an optimization unit 14 which optimizes the evaluation function by bringing the evaluation value closer to the spatial correlation phase estimate and a pixel value at the position selected by the pixel selection unit 11.

Systems and methods of automating the generation of a correction of an estimate of an elevation of a digital elevation model (DEM) of the bare earth under forest canopy. The disclosed embodiments facilitate generation of a more accurate DEM in areas of canopy coverage (where the input X-band DSM cannot see the ground) to estimate both the canopy height and the associated DEM. In some embodiments, the result of computationally correcting an estimate of an original DEM is a modified DEM. The method of correcting an estimate of an original DEM utilizes a pair of P-band radar images, an original DEM overlapping the same scene as the P-band radar images, at least one common, uniquely-identifiable point in the P-band radar images, and a definition of a geographical area surrounding the common, uniquely identifiable point over which the elevation correction is applicable.

A slope stability monitoring apparatus which produces slope deformation maps that preserve measurements from fast moving small areas, slow moving small areas, slow moving large areas and fast moving large areas while minimising the effect of non-wall movement contamination, such as atmosphere and artefacts. Also a method of producing slope deformation maps by deriving a correction factor and applying the correction factor to correct for non-wall movement contamination.

A synthetic aperture radar signal processing device 10 includes a persistent scatterer extraction unit 11 which extracts, from time-series observation data related to an observation target observed from a plurality of observation directions by a radar, a plurality of persistent scatterers in respective observation directions; a persistent scatterer grouping unit 12 which groups the plurality of persistent scatterers in each of the observation directions; a group selection unit 13 which selects, in each of the observation directions, a persistent scatterer group that includes the persistent scatterers included in an analysis target from among groups generated by grouping; and a displacement speed processing unit 14 which synthesize displacement speeds of the selected persistent scatterer groups.