For synthetic aperture radar (SAR) pixel vectoring, a method identifies target features of a target from a plurality of SAR signals. The method further classifies the target from the target features. In addition, the method enhances a pixel vector of the target in response to the target classification.

A detection system includes a phased array antenna having unitary radiating elements, the system being suitable for, in each cycle, successively directing, by way of the successive application of a first and a second determined phase law to the electrical signals for supplying power to the array antenna, the antenna radiation towards a first target area (Z1), then a second target area (Z2), which is separate from the first target area (Z1), and determining an image of each target area (Z1) on the basis of the echoes received from each of the first and second target areas.

Embodiments of the invention are directed to a method of determining underground liquid (e.g., water) content. Embodiments of the method may include: receiving a scan of an area at a first polarization, the scan scans including reflections from the area. Embodiments of the invention may include receiving an additional data. Embodiments of the method may further include filtering electromagnetic noise from the scan using the additional data. Embodiments of the method may further include creating a water roughness map based on typical roughness values of various types of water sources and the filtered scan, identifying a first type of water sources using the water roughness map and the filtered scan and calculating the water content at locations in the area based on the identified first type of water sources.

Embodiments of the invention are directed to a method of determining underground liquid (e.g., water) content. Embodiments of the method may include: receiving a scan of an area at a first polarization, the scan scans including first L band microwave reflections from the area. Embodiments of the invention may include receiving an optical data at a wavelength of 1 millimeter to 10 nanometers. Embodiments of the method may further include filtering electromagnetic noise from the scan using the optical data. Embodiments of the method may further include creating a water roughness map based on typical roughness values of various types of water sources and the filtered scan, identifying a first type of water sources using the water roughness map and the filtered scan and calculating the water content at locations in the area based on the identified first type of water sources.

Method for selecting a sea clutter training area in polarimet ric synthetic aperture radar input data. A sea clutter refer ence distribution for a pixel magnitude value is provided. Based on the input data, one or more parameters of the refer ence distribution and a global covariance matrix are computed. The pixels are grouped into blocks. A block that minimizes a cost function is pre-selected, the cost function being derived from empirical moments of the block and moments of the refer ence distribution. A goodness-of-fit is computed for the pre- selected block with respect to the reference distribution. If the goodness-of-fit is sufficient, the block is selected as sea clutter training area. Otherwise, the steps of preselect ing and computing a goodness of fit are repeated.

A system for determining the location of a man-made object based upon symmetry of the object comprising a receiver configured to receive radar signals comprising cross-polarized and co-polarized responses; at least one processor configured to combine the horizontal-horizontal polarimetric responses and vertical-vertical polarimetric responses to form co-polarimetric images and operate on one or both of the vertical-horizontal polarimetric responses and horizontal-vertical polarimetric responses to form cross-polarized images; the at least one processor configured to process the co-polarized and cross-polarized images to locate areas of interest containing a maximum in the co-pol image and a null state in the co-pol image indicating the potential detection of a man-made object; the at least one processor being configured to filter data using buffer regions and/or skipping of pixels in the vicinity of an area of interest. A method for detection of man-made objects is also disclosed.

A system and method for locating a man-made object comprising a transmitter and receiver combination or transceiver configured to emit mixtures of polarizations comprising HH, VV, VH and or HV polarization images, at least one processor configured to form co-polarimetric and cross-polarimetric images, to select a pixel under test and analyze the surrounding pixels by performing spatial averaging using the cross polarimetric image, and to replace the pixel under test and the pixels adjacent thereto with an average pixel value calculated from the pixel under test and pixels adjacent thereto; the at least one processor configured to diminish background effects to produce clearer co-polarimetric and cross-polarimetric images and to locate the left-right point of symmetry indicative of a man-made object by comparing each pixel under test in the cross-polarimetric image to pixels in the vicinity to locate an intensity differential in excess of 3 dB.

A system and method for locating a man-made object comprising a transmitter and receiver combination or transceiver configured to emit mixtures of polarizations comprising HH, VV, VH and or HV polarization images, at least one processor configured to form co-polarimetric and cross-polarimetric images, to select a pixel under test and analyze the surrounding pixels by performing spatial averaging using the cross polarimetric image, and to replace the pixel under test and the pixels adjacent thereto with an average pixel value calculated from the pixel under test and pixels adjacent thereto; the at least one processor configured to diminish background effects to produce clearer co-polarimetric and cross-polarimetric images and to locate the left-right point of symmetry indicative of a man-made object by comparing each pixel under test in the cross-polarimetric image to pixels in the vicinity to locate an intensity differential in excess of 3 dB.

A method for operating a synthetic aperture radar, SAR, mode, in an SAR instrument, wherein the method comprises the steps of: acquiring at least one subswath positioned in an across track direction of a movement of the SAR instrument, wherein the at least one subswath is acquired during at least one acquisition burst duration and/or at a predetermined radio frequency bandwidth; adjusting the at least one acquisition burst duration and/or the predetermined radio frequency bandwidth and/or a number of parallel simultaneous subswaths and/or an inserted burst duration for a further subswath based upon a predetermined parameter; constructing an SAR image based on the acquired at least one subswath.

A method for operating a synthetic aperture radar, SAR, mode, in an SAR instrument, wherein the method comprises the steps of: acquiring at least one subswath positioned in an across track direction of a movement of the SAR instrument, wherein the at least one subswath is acquired during at least one acquisition burst duration and/or at a predetermined radio frequency bandwidth; adjusting the at least one acquisition burst duration and/or the predetermined radio frequency bandwidth and/or a number of parallel simultaneous subswaths and/or an inserted burst duration for a further subswath based upon a predetermined parameter; constructing an SAR image based on the acquired at least one subswath.