Abstract: A de-noising method for remote images of ground buildings using spectrum constraints. The method includes: 1) obtaining a reference image of ground buildings from a remote image database of the ground buildings, performing a Fourier transformation on the reference image to obtain an amplitude spectrum, and performing a threshold segmentation, an erosion operation and a dilation operation successively on the amplitude spectrum to obtain a binary template of spectrum of the ground buildings; and 2) obtaining a real-time image of the ground buildings by a high-speed aircraft, performing a Fourier transformation on the real-time image to obtain a spectrum, filtering the spectrum of the real-time image in frequency domain by the binary template of spectrum of the ground buildings, and performing an inverse Fourier transformation thereon to generate a filtered real-time image of the ground buildings.

Abstract: A method for extracting motion parameters from angiography images using a multi-parameter model.

Abstract: A method for separating and estimating multiple motion parameters in an X-ray angiogram image. The method includes: determining a cardiac motion signal cycle and a variation frame sequence of translational motion according to an angiogram image sequence, tracing structure feature points of vessels in the angiogram image sequence whereby obtaining a motion sequence, processing the motion sequence via multivariable optimization and Fourier frequency-domain filtering, separating an optimum translational motion curve, a cardiac motion curve, a respiratory motion curve and a high-frequency motion curve according to the variation frame sequence of translational motion, a cycle of the cardiac motion signal, a range of a respiratory motion signal cycle, and a range of a high-frequency motion signal cycle.

Abstract: An aircraft-based infrared image recognition device for a ground moving target, including an infrared non-uniformity correction module, an image rotation module, an image registration module, a multi-level filtering module, a connected domain labeling module, a target detection and feature recognition module, a process control module, and a FPGA-based interconnection module. The invention uses an ASIC/SoC chip for image processing and target recognition, the DSP processor and the FPGA processor, it is possible to enable a multi-level image processing and target recognition algorithm, to improve system parallel, and to facilitate an aircraft-based infrared image recognition method for a ground moving target. Meanwhile, embodiments of the invention effectively reduce power consumption of the device.

Abstract: A method for separating and estimating multiple motion parameters in an X-ray angiogram image. The method includes: determining a cardiac motion signal cycle and a variation frame sequence of translational motion according to an angiogram image sequence, tracing structure feature points of vessels in the angiogram image sequence whereby obtaining a motion sequence, processing the motion sequence via multivariable optimization and Fourier frequency-domain filtering, separating an optimum translational motion curve, a cardiac motion curve, a respiratory motion curve and a high-frequency motion curve according to the variation frame sequence of translational motion, a cycle of the cardiac motion signal, a range of a respiratory motion signal cycle, and a range of a high-frequency motion signal cycle.

Abstract: A method for identifying and positioning a building using mountain-based outline region restraint, including steps of: (1) obtaining a real-time image, detecting a mountain-based outline of the real-time image, and extending the mountain-based outline thereby obtaining a mountain-based outline restraint region, (2) conducting morphological enhancement and background suppression on the image in the mountain-based outline restraint region, (3) conducting recursive segmentation in the mountain-based outline restraint region thereby transforming an image obtained in step (2) into a binary image, (4) extracting local regions of interest of a target building in the mountain-based outline restraint region according to the binary image, and (5) directly identifying and positioning the target building in the local regions of interest.

Abstract: A method for estimating a rotation axis and a mass center of a spatial target based on binocular optical flows.

Abstract: An aircraft-based infrared image recognition device for a ground moving target, including an infrared non-uniformity correction module, an image rotation module, an image registration module, a multi-level filtering module, a connected domain labeling module, a target detection and feature recognition module, a process control module, and a FPGA-based interconnection module. The invention uses an ASIC/SoC chip for image processing and target recognition, the DSP processor and the FPGA processor, it is possible to enable a multi-level image processing and target recognition algorithm, to improve system parallel, and to facilitate an aircraft-based infrared image recognition method for a ground moving target. Meanwhile, embodiments of the invention effectively reduce power consumption of the device.

Abstract: A method for detecting spectral characteristics of multi-band moving objects. The method includes: 1) dividing a full field of view into several subfields of view, and scanning and extracting suspected objects in each subfield one by one; 2) correlating interrelated suspected objects in adjacent subfields via coordinates to determine objects of interest that exist in the full field of view; 3) calculating the speeds of the objects of interest; 4) calculating average speed of all of the objects of interest and classifying the objects of interest according to their average speed; 5) compensating and rectifying the objective spectrum obtained from calculation; and 6) matching the compensated and rectified objective spectrum with a spectrum fingerprint database whereby realizing recognition of the multi-band moving objects.

Abstract: A radiation-hardened memory storage unit that is resistant to total ionizing done effects, the unit including PMOS transistors.

Abstract: A radiation-hardened storage unit, including a basic storage unit, a redundant storage unit, and a two-way feedback unit. The basic storage unit includes a first PMOS transistor, a second PMOS transistor, a third PMOS transistor, and a fourth PMOS transistor. The first PMOS transistor and the second PMOS transistor are read-out access transistors. The third PMOS transistor and the fourth PMOS transistor are write-in access transistors. The redundant storage unit includes a fifth PMOS transistor, a sixth PMOS transistor, a seventh PMOS transistor, and an eighth PMOS transistor. The fifth PMOS transistor and the sixth PMOS transistor are read-out access transistors. The seventh PMOS transistor and the eighth PMOS transistor are write-in access transistors. The two-way feedback unit is configured to form a feedback path between the storage node and the redundant storage node.

Abstract: A radiation-hardened storage unit, including a basic storage unit, a redundant storage unit, and a two-way feedback unit. The basic storage unit includes a first PMOS transistor, a second PMOS transistor, a third PMOS transistor, and a fourth PMOS transistor. The first PMOS transistor and the second PMOS transistor are read-out access transistors. The third PMOS transistor and the fourth PMOS transistor are write-in access transistors. The redundant storage unit includes a fifth PMOS transistor, a sixth PMOS transistor, a seventh PMOS transistor, and an eighth PMOS transistor. The fifth PMOS transistor and the sixth PMOS transistor are read-out access transistors. The seventh PMOS transistor and the eighth PMOS transistor are write-in access transistors. The two-way feedback unit is configured to form a feedback path between the storage node and the redundant storage node.

Abstract: A radiation-hardened memory storage unit that is resistant to total ionizing done effects, the unit including PMOS transistors.

Abstract: A method for restoring and enhancing a space based image of point or spot objects. The method includes: 1) dividing a space-variable degraded image into multiple space-invariant image sub-blocks, and constructing a point spread function for each of the image sub-blocks; 2) correcting each of the image sub-blocks via a space-invariant image correction method whereby obtaining a corrected image {circumflex over (f)}i for each of the image sub-blocks; and 3) stitching the corrected image sub-blocks {circumflex over (f)}i altogether via a stitching algorithm whereby obtaining a complete corrected image {circumflex over (f)}.