Abstract: A construction method and system for a visible near-infrared spectrum dictionary is provided. The method includes: constructing a four-primary color chromaticity cone by using normalized spectral response curves of four primary colors of a visible light camera as spectral basis functions; performing weighted combination on the spectral basis functions and forming an initial visible near-infrared spectrum dictionary; acquiring points on the four-primary color chromaticity cone on the basis of the initial visible red infrared spectrum dictionary according to different spectral resolutions and performing discretization, and forming words in the initial visible near-infrared spectrum dictionary; clustering chromaticity coordinates corresponding to the words into different groups, performing weighted combination on multi-scale spectral response curves corresponding to different group types, generating phrases or sentences in the dictionary, and generating a final visible near-infrared spectrum dictionary.

Abstract: A method and a system for building a short-wave, medium-wave and long-wave infrared spectrum dictionary are provided.

Abstract: A construction method and system for a visible near-infrared spectrum dictionary is provided. The method includes: constructing a four-primary color chromaticity cone by using normalized spectral response curves of four primary colors of a visible light camera as spectral basis functions; performing weighted combination on the spectral basis functions and forming an initial visible near-infrared spectrum dictionary; acquiring points on the four-primary color chromaticity cone on the basis of the initial visible red infrared spectrum dictionary according to different spectral resolutions and performing discretization, and forming words in the initial visible near-infrared spectrum dictionary; clustering chromaticity coordinates corresponding to the words into different groups, performing weighted combination on multi-scale spectral response curves corresponding to different group types, generating phrases or sentences in the dictionary, and generating a final visible near-infrared spectrum dictionary.

Abstract: Disclosed are an underwater ferromagnetic target detection method and system employing multiple power frequency radiation sources, pertaining to the technical field of non-acoustic underwater detection.

Abstract: Provided in the present invention are a geologically constrained infrared imaging detection method and system for an urban deeply-buried strip-like passage, pertaining to the crossing fields of geophysics and remote sensing technology.

Abstract: The disclosure discloses a mobile photoelectric detection and identification system for low, slow and small targets. The optical detection subsystem and the photoelectric parallel processing and identification subsystem are arranged on the servo subsystem, and the servo subsystem is carried on an installation platform of a vehicle. The optical detection subsystem is configured to collect multi-wavelength band optical information from the target and the background. The co-processing module of various wavelength bands is configured to perform single-frame detection and identification of the target from the image information of the corresponding wavelength band. The information processing main control module is configured to use JPEG image compression, track association and multi-frame combining methods to perform a multi-frame detection and identification on the target. The servo subsystem is configured to complete target tracking according to the multi-frame detection and identification results.

Abstract: Methods and systems are provided for inverted detection and positioning of a strip-like subterranean tunnel in a mountain mass, pertaining to the field combining theories of the discipline of geophysics and remote sensing technology.

Abstract: Disclosed is an inverse estimation-based radius calculation method and system for ferromagnetic target detection. The calculation method includes a data acquisition step and a ferromagnetic target detection radius calculation step. Distrubance of a scale model to power frequency electromagnetic waves is used to inversely estimate a corresponding ferromagnetic target detection radius. Inverse estimation is performed separately for an air layer and a sea water layer according to test results of multiple scale model tests and in consideration of both a stationary state and a motion state of the scale model, so as to acquire a ferromagnetic target detection radius calculation formula. Weights of factors such as mass, speed, depth, and height are great in inverse estimation, so that inverse estimation precision is improved. The majority of background noise interference can be screened out of the power frequency electromagnetic waves.

Abstract: A sequence time window amplitude-phase-frequency characteristics analysis method and system for underwater vehicle power frequency electromagnetic field disturbance are provided. The method includes: establishing a power grid dipole group model, emulating and calculating to obtain background field intensity data of a test location, and constructing an emulated background field database; acquiring measured background field data, comparing the emulated data with the measured data, and providing a relative error; calculating a background field intensity and underwater vehicle target disturbance under the action of the above dipole group, and establishing a measured target signal database; and performing actual measurement according to an underwater vehicle motion and detection topology, performing a Fourier transform and Fourier sliding window decomposition after acquiring original data, and acquiring an amplitude spectrum and a spectrogram of an underwater vehicle target disturbance signal.

Abstract: The present invention discloses an electromagnetic wave spatial analysis method based on multi-level dipole group modeling.

Abstract: The disclosure discloses a Gm-APD array lidar imaging method under strong background noise, comprising following steps: respectively acquiring two sets of cumulative detection data of the Gm-APD array lidar at two different opening times of a range gate of the Gm-APD array lidar under strong background noise; respectively performing a statistic operation on the two sets of cumulative detection data of the Gm-APD array lidar with respect to all pixels, to obtain two cumulative detection result histograms of the Gm-APD array lidar; determining a range interval of the imaging target according to the two cumulative detection result histograms; and acquiring a lidar image by a peak discrimination method in the range interval of the imaging target. The Gm-APD array lidar imaging method according to the present disclosure is capable of improving the laser image quality by eliminating the interference of strong background noise in other range intervals.

Abstract: A master control system for a remote-sensing satellite image processing device, the system including: a master control management module, a first FPGA module, and a second FPGA module. The master control management module is in connection and communication with the first FPGA module, the second FPGA module, and a housekeeping computer. The first FPGA module is in connection and communication with the second FPGA module and a remote-sensing satellite image processing device. The master control management module is adapted to perform assignment of tasks. The first FPGA module is adapted to communicate with a processor in the satellite image processing device, monitor an operation state of the satellite image processing device, send the operation state information to the master control management module, receive a task assignment command issued by the master control management module, and transmit the task assignment command to the satellite image processing device.

Abstract: A method and a system for thermal infrared facial recognition are provided. The method includes: determining a thermal infrared facial image to be recognized; inputting the thermal infrared facial image to be recognized into a trained three-sense component extractor to position eyes, a nose, and a mouth of a face in the image, and to perform regional positioning of a left eye, a right eye, the nose, and the mouth, so as to constitute a corresponding key region group; performing affine transformation on the thermal infrared facial image to be recognized using a difference between a key region group of a standard face and the key region group of the face to be recognized; inputting a thermal infrared image after face alignment calibration into a trained facial feature extraction to extract corresponding facial features; and inputting the extracted facial features into a trained classifier to recognize information of an owner.

Abstract: A method of attitude estimation of a spotted target. The method includes an offline training and an online estimation. The offline training includes establishing a three-dimensional geometric model of a target, performing region division according to the structure of the target, establishing an object-space temperature distribution model for each region of the target, establishing an infrared radiation transmission model of an intra-atmospheric target in six attitudes in observation by a detection system, constructing an image-space radiant energy model of the target in the six attitudes using the object-space temperature distribution model and the infrared radiation transmission model, and performing simulation calculation to obtain an infrared spectral curve of the spotted target regarding wavelength versus image-space-radiant-energy-of-target, so as to establish a mapping database regarding target-attitude versus spectrum.

Abstract: The disclosure discloses a Gm-APD array lidar imaging method under strong background noise, comprising following steps: respectively acquiring two sets of cumulative detection data of the Gm-APD array lidar at two different opening times of a range gate of the Gm-APD array lidar under strong background noise; respectively performing a statistic operation on the two sets of cumulative detection data of the Gm-APD array lidar with respect to all pixels, to obtain two cumulative detection result histograms of the Gm-APD array lidar; determining a range interval of the imaging target according to the two cumulative detection result histograms; and acquiring a lidar image by a peak discrimination method in the range interval of the imaging target. The Gm-APD an-ay lidar imaging method according to the present disclosure is capable of improving the laser image quality by eliminating the interference of strong background noise in other range intervals.

Abstract: A method of measuring infrared spectral characteristics of a moving target, the method including: establishing a multi-dimensional and multi-scale model with infrared spectral features of an object-space target, and extracting an object-space region of interest measurement model; performing target detection on an actually measured infrared image, and identifying position information for each ROI of a target; tracking the target, to obtain the target's pixel differences between two frames, as well as a moving direction of the target, and performing motion compensation for the target; and scanning the target, and after successfully capturing an image of the target being tracked, controlling an inner framework to point to each target of interest, and according to moving-direction information of the target, performing N-pixel-size motion in a direction shifted by 90° with respect to the moving direction, and activating a spectrum measuring module.

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: A method of attitude estimation of a spotted target. The method includes an offline training and an online estimation. The offline training includes establishing a three-dimensional geometric model of a target, performing region division according to the structure of the target, establishing an object-space temperature distribution model for each region of the target, establishing an infrared radiation transmission model of an intra-atmospheric target in six attitudes in observation by a detection system, constructing an image-space radiant energy model of the target in the six attitudes using the object-space temperature distribution model and the infrared radiation transmission model, and performing simulation calculation to obtain an infrared spectral curve of the spotted target regarding wavelength versus image-space-radiant-energy-of-target, so as to establish a mapping database regarding target-attitude versus spectrum.

Abstract: A method of measuring infrared spectral characteristics of a moving target, the method including: establishing a multi-dimensional and multi-scale model with infrared spectral features of an object-space target, and extracting an object-space region of interest measurement model; performing target detection on an actually measured infrared image, and identifying position information for each ROI of a target; tracking the target, to obtain the target's pixel differences between two frames, as well as a moving direction of the target, and performing motion compensation for the target; and scanning the target, and after successfully capturing an image of the target being tracked, controlling an inner framework to point to each target of interest, and according to moving-direction information of the target, performing N-pixel-size motion in a direction shifted by 90° with respect to the moving direction, and activating a spectrum measuring module.

Abstract: A master control system for a remote-sensing satellite image processing device, the system including: a master control management module, a first FPGA module, and a second FPGA module. The master control management module is in connection and communication with the first FPGA module, the second FPGA module, and a housekeeping computer. The first FPGA module is in connection and communication with the second FPGA module and a remote-sensing satellite image processing device. The master control management module is adapted to perform assignment of tasks. The first FPGA module is adapted to communicate with a processor in the satellite image processing device, monitor an operation state of the satellite image processing device, send the operation state information to the master control management module, receive a task assignment command issued by the master control management module, and transmit the task assignment command to the satellite image processing device.