A system and method for satellite imaging are provided. The system includes a first satellite, a trailing satellite, and a ground terminal. The first satellite acquires synthetic aperture radar (SAR) image data in a first predetermined signal frequency band at a first imaging location and transmits the SAR image data to a ground terminal. The ground terminal determines a second imaging location from the SAR image data and transmits the second imaging location to the trailing satellite. The trailing satellite acquires higher resolution image data in a second predetermined signal frequency band at the second imaging location and transmits the image data to the ground terminal. Systems and methods for satellite imaging are also provided in which a first satellite captures image data and processes the image data onboard to generate a processed product which is transmitted to a receiving terminal at a ground terminal or on a second satellite.

A radar image processing device includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: determine a search range based on a reference block and a layover direction, the reference block being set as an area of interest in a radar image generated from data obtained by an imaging radar, the layover direction being a direction in which layover occurs in the radar image and being estimated from an incident direction of an electromagnetic wave used for observation by the imaging radar; extract a similar block that is similar to the reference block and included in the search range by searching the search range; and perform filtering processing for reducing speckles generated in the radar image by using the reference block and the extracted similar block.

The change detection device 10 includes a three-dimensional structure reconstruction unit 11 which reconstructs a three-dimensional structure of a predetermined area in an observed area, a phase eliminator 12 which eliminates phase signals in the predetermined area in multiple SAR images in which the observed area is taken, using the three-dimensional structure, and a change detection unit 13 which generates a coherence image from a SAR image pair from which the phase signals are eliminated and detects change in the observed area based on coherence values of pixels constituting the coherence image.

The present invention relates to a method and system for Phaseless Passive Synthetic Aperture Radar (PPSAR) imaging. Existing method for image reconstruction requires large number of measurements for satisfactory PPSAR image reconstruction. However, this leads to provisioning of more on-board storage and/or a high-speed data link between a mobile platform and a ground station. These requirements are undesirable in practice as PPSAR image reconstruction systems are deployed on resource constrained platforms. The present disclosure uses a regularized Wirtinger Flow (rWF) based approach that uses appropriate regularizers to facilitate the PPSAR image reconstruction with fewer measurements. Further the PPSAR image reconstruction is achieved using Alternating Direction Method of Multipliers (ADMM) by employing standard denoisers such as Total Variation (TV), Block-matching and 3D filtering (BM3D) and, Deep Image Prior (DIP). Further the present disclosure considers an actual location of transmitter for PPSAR imaging that yields better image reconstruction.

A retrieval method and a retrieval apparatus for reservoir water storage. The retrieval method includes the following steps. A synthetic aperture radar (SAR) image sequence of a target local waters in a target reservoir is acquired. A water area sequence of the target local waters is determined according to the SAR image sequence. A first relationship between a water level of the target reservoir and a water area of the target local waters of the target reservoir is obtained. The water area sequence is converted into a target water level sequence according to the first relationship. And a water storage sequence of the target reservoir is obtained according to a water level-water storage relationship curve and the target water level sequence.

Systems and methods for identifying an oil spill in a body of water include obtaining an image of the body of water from a multispectral satellite for a first time period and a second time period. One or more features are extracted the from the image to form a first feature vector for the first time period and a second feature vector for the second time period with the one or more features representing a physical feature of a surface of the body of water. The feature vectors are processed using a machine learning model trained with labeled image data representing instances of oil on the surface of the body of water to determine the type and location of oil in the body of water.

Systems and methods for quantifying and remediating an oil spill in a body of water can include obtaining a synthetic aperture radar image of the body of water and/or a multispectral image of the body of water. One or more features representing a physical feature of a surface of the body of water can be extracted from the image(s). The extracted features can be processed using a machine learning model trained with labeled image data representing instances of oil on the surface of the body of water to associate oil appearances code with portions of the surface of the water body based on the extracted features. Based on the processing, areas of the body of water associated with each oil appearance code as well as locations and volumes of oil in the body of water can be determined.

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.

Multiple synthetic aperture radar SAR images of a target area on the earth are acquired using a satellite travelling in an orbit above the earth in a single pass of the satellite over the target area. In some methods, the data for each image is acquired from a different angle of incidence with respect to the target area. Then, the variation of quantity of backscattered radiation with respect to angle of incidence is analysed and used to identify matter imaged in a pixel or pixel group. In other methods, the data for each image is acquired from a different angle of incidence with respect to the target area, and the different angles of incidence are determined based on the specular reflection curve for a particular material. Then the quantity of backscattered radiation is analysed to determine whether the particular material is present based on the quantity of backscattered radiation. Extended dwell spotlight acquisition geometry may be used in which image data acquisition apparatus may be locked to illuminate same target as the satellite passes over the target for a period of for example 20 seconds.

Various technologies for mitigating interference artifacts in multi-pass synthetic aperture radar (SAR) imagery are described herein. First and second phase histories corresponding to first and second SAR passes over a scene are processed in image and phase-history domains to correct for spatially-variant and constant phase offsets between the phase histories that can be caused by known and unknown variations in motion of a SAR platform between passes. Data samples from one phase history can then be replaced with data samples from the other phase history to remove artifacts and distortions caused by sources of interference in the scene.