Abstract: The present invention provides a method for infrared imaging detection and positioning of an underground tubular facility in a plane terrain. Demodulation processing is performed on an original infrared image formed after stratum modulation is generated on the underground tubular facility according to an energy diffusion Gaussian model of the underground tubular facility, so as to obtain a target image of the underground tubular facility.

Abstract: An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.

Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method.

Abstract: An aerothermal radiation effect frequency domain correction method, comprising: use a Gaussian surface to approximate a thermal radiation noise, perform a Fourier transform on the thermal radiation noise to obtain an amplitude spectrum, then normalize and segment the amplitude spectrum to obtain a filter thresholding template, BW, then use the filter thresholding template, BW, to construct a filter function, H; perform a Fourier transform on an image degraded by aerodynamic thermal radiation, f, to obtain a centralized frequency spectrum, F, then take the dot product of F and H to obtain a real-time image frequency spectrum, G; and perform an inverse Fourier transform on G to obtain a modulus, and acquire an image corrected for thermal radiation, g. Using the method effectively removes background noise generated by aerothermal radiation to restore a clear image, greatly improving image quality and image signal-to-noise ratio.

Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.

Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method.

Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.

Abstract: A moving platform borne infrared image-spectrum associated detection system includes an optical hood, a broadband optical system, a two-dimensional servo system, an infrared optical fiber, a Fourier interference spectrum module, an image-spectrum associated detection processing module, a power supply module, and a display module. Incident light enters from the optical hood to the broadband optical system, and is split by a spectroscope. Transmitted light is focused by a long-wave imaging lens group on an infrared detector for imaging. Reflected light is focused by a broadband spectrum lens group to an optical fiber coupler, enters the Fourier interference spectrum module through the infrared optical fiber to form an interference pattern, and undergoes Fourier transform to obtain spectral data.

Abstract: The present invention discloses a co-aperture multi-field of view (FOV) image-spectrum cooperative detection system, and the system includes an infrared optical window, a large FOV two-dimensional scanning mirror, a co-aperture multi-FOV main optical system, a large FOV scanning detector, a staring infrared detector, an infrared non-imaging broadband spectrum measuring unit, a data processing unit, a control unit, and a servo system. Correspondingly, the present invention further provides a method based on the system. The present invention searches a target area by using large FOV scanning, and identifies a target by using medium FOV staring infrared detection, and small FOV fine detection is finally performed on the area to identify the target in combination with spectrum data analysis.

Abstract: A weak target detection-oriented multi-modal infrared imaging system includes an infrared optical window, a large-field of view (FOV) two-dimensional scanning mirror, a Cassegrain reflector group, a broadband spectrum relay mirror, a first lens group, a space-adjustable and transmittance-variable lens, a second lens group, a focal plane array (FPA) module, a data processing module and a space addressable transmittance modulation module. The data processing module generates a transmittance modulation control signal and an imaging integration time modulation signal according to an image data signal output by the FPA module, and the space-adjustable and transmittance-variable lens dynamically adjust an optical field transmittance under the effect of the transmittance modulation control signal. The FPA module adaptively adjusts an imaging integration time under the effect of the imaging integration time modulation signal.

Abstract: The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method.

Abstract: The present invention provides an above-ground building recognition method, including the following steps: (1) taking an infrared image of the ground from the air; (2) performing detection and positioning in the infrared image to determine a suspected target; (3) aiming at the suspected target to perform laser imaging; (4) performing range gating on a laser image to filter out foreground and background interference; and (5) extracting a shape feature of the suspected target from the laser image with interference filtered out, and taking the shape feature as a target matching element to perform matching with a target shape feature template, so as to recognize the target. In the method of the present invention, laser imaging is integrated into infrared imaging target positioning, so that an advantage of a large range of infrared imaging is utilized, and three-dimensional range information of laser imaging is also utilized, thereby effectively improving the precision of positioning a building.

Abstract: The present invention discloses a low-orbit satellite-borne image-spectrum associated detection method and payload. The method includes: (1) detecting and tracking moving targets and dynamic phenomena based on a pixel offset compensation method; and (2) performing multi-dimensional characteristic analysis on infrared spectra of the moving targets and the dynamic phenomena, to identify the moving targets and the dynamic phenomena. The payload includes a two-dimensional servo turntable, an infrared reflector, a multispectral infrared optical system, an infrared imaging unit, a broadband infrared spectrum measuring unit, a data processing unit and a control unit.

Abstract: The present invention discloses an infrared image-spectrum associated intelligent detection method and apparatus, including: first searching for targets in a field of view (FOV), and performing image-spectrum associated intelligent identification sequentially on the searched targets, that is, first performing infrared image target identification on each target, and if a detection identification rate is greater than a set threshold, outputting an identification result and storing target image data; otherwise, acquiring an infrared spectrum of the target, and performing target identification based on infrared spectrum features. The present invention further discloses an apparatus for performing target detection using the above method, and the apparatus mainly includes a two-dimensional scanning mirror, a multiband infrared optical module, a long-wave infrared (LWIR) imaging unit, a broadband infrared spectrum measuring unit, and a processing and control unit.

Abstract: An infrared imaging detection and positioning method for an underground building in a planar land surface environment comprises: obtaining an original infrared image g0 formed after stratum modulation is performed on an underground building, and determining a local infrared image g of a general position of the underground building in the original infrared image g0; setting an iteration termination condition, and setting an initial value h0 of a Gaussian thermal diffusion function; using the local infrared image g as an initial target image f0, and performing iteration solution of a thermal expansion function hn and a target image fn by using a maximum likelihood estimation algorithm according to the initial value h0 of the Gaussian thermal diffusion function; and determining whether the iteration termination condition is met, if the iteration termination condition is met, using the target image fn obtained by means of iteration solution this time as a final target image f; and if the iteration termination con

Abstract: A weak target detection-oriented multi-modal infrared imaging system includes an infrared optical window, a large-field of view (FOV) two-dimensional scanning mirror, a Cassegrain reflector group, a broadband spectrum relay mirror, a first lens group, a space-adjustable and transmittance-variable lens, a second lens group, a focal plane array (FPA) module, a data processing module and a space addressable transmittance modulation module. The data processing module generates a transmittance modulation control signal and an imaging integration time modulation signal according to an image data signal output by the FPA module, and the space-adjustable and transmittance-variable lens dynamically adjust an optical field transmittance under the effect of the transmittance modulation control signal. The FPA module adaptively adjusts an imaging integration time under the effect of the imaging integration time modulation signal.

Abstract: The present invention discloses a co-aperture multi-field of view (FOV) image-spectrum cooperative detection system, and the system includes an infrared optical window, a large FOV two-dimensional scanning mirror, a co-aperture multi-FOV main optical system, a large FOV scanning detector, a staring infrared detector, an infrared non-imaging broadband spectrum measuring unit, a data processing unit, a control unit, and a servo system. Correspondingly, the present invention further provides a method based on the system. The present invention searches a target area by using large FOV scanning, and identifies a target by using medium FOV staring infrared detection, and small FOV fine detection is finally performed on the area to identify the target in combination with spectrum data analysis.

Abstract: The present invention discloses a method for detecting, recognizing, and positioning a zonal underground target in a mountain land environment by detecting a ridge position in the mountain land environment and carrying out energy correction. The method belongs to the interdisciplinary field of pattern recognition, remote sensing technology and terrain analysis. The zonal underground target can cause energy abnormity when the heat field thereof is different from that of a mountain mass, and the heat island effect of the ridge can also cause the energy of the mountain mass to be abnormal. However, the energy abnormity caused by the heat island effect is essentially different from the energy abnormity caused by the zonal underground target in the aspect of mode.

Abstract: A zonal underground structure detection method based on sun shadow compensation is provided, which belongs to the crossing field of remote sensing technology, physical geography and pattern recognition, and is used to carry out compensation processing after a shadow is detected, to improve the identification rate of zonal underground structure detection and reduce the false alarm rate. The present invention comprises steps of acquiring DEM terrain data of a designated area, acquiring an image shadow position by using DEM, a solar altitude angle and a solar azimuth angle, processing and compensating a shadow area, and detecting a zonal underground structure after the shadow area is corrected.

Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=?xu and d3=?yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process.