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. The method includes: using a model of thermal radiation between a mountain mass and an air layer in conjunction with DEM data to calculate solar radiation energy, and iteratively filtering out background heat flow field energy of the mountain mass; calculating mountain mass background heat propagation energy with reference to hyperspectral data; using a subterranean target inversion model to filter out each layer of background heat flow field energy of the mountain mass in an infrared remote sensing image, and acquiring an optimal elevation of the strip-like subterranean tunnel in the mountain mass and a disturbance signal distribution image constructed via strip-like subterranean tunnel heat flow field energy in each layer of the mountain mass; and using a Hough transform detection method to detect a straight line in the disturbance signal distribution image, performing fitting according to the principle of relevance of tunnel engineering design to acquire a detected location of the tunnel. In this way, inverted detection and positioning of a strip-like subterranean tunnel in a mountain environment is achieved.
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:
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:
The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method. The system includes an infrared window (1), a two-dimensional rotating mirror (2), a planar reflector (3), a reflective multiband infrared lens system (4), a Fourier interference spectrum module (5), an image-spectrum associated processing module (6), a power supply module (7), a refrigerating module (8), and a display module (9); the incident light enters from the infrared window (1), is reflected by the two-dimensional rotating mirror (2), and then is reflected by the planar reflector (3) to the reflective multiband infrared lens system (4) and then is split by a spectroscope (42); the transmitted light is focused by means of a convergent lens and is imaged on an infrared detector (43); the reflected light is focused on an infrared optical fiber coupler (44) and enters the Fourier interference spectrum module (5) through an infrared optical fiber to form an interference pattern, and further, spectrum data is obtained through Fourier transformation; the image-spectrum associated processing module (6) effectively combines broadband spectrum imaging and non-imaging spectrum data, and controls the two-dimensional rotating mirror (2) to point to a target, thereby implementing intelligent remote sensing measurement. The present invention has capabilities of performing local scene region spectrum measurement and multi-target tracking spectrum measurement, has high speed, an appropriate data amount, and low cost.
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. The present invention can achieve coaxiality of an infrared imaging optical path and a short/medium/long wave infrared spectrum measuring optical path, detect infrared image information and infrared spectra of moving targets and dynamic phenomena simultaneously and realize automatic detection, tracking, spectrum measurement and identification of multiple moving targets and dynamic phenomena in a scene, and has high identification efficiency and high tracking and positioning accuracy.
Abstract:
The invention discloses a detecting device combining images with spectra in an ultra-wide waveband, comprising a scanning rotating mirror, a Cassegrain mirror assembly, three spectroscopes, a reflector, four broadband lens assemblies, a visible and near-infrared lens assembly, a long wave lens assembly, a CCD imaging unit, an FPA imaging unit, a Fourier spectrum measuring unit and a grating spectrum measuring unit. The invention is able to recognize a target accurately by spectrum measurement under the guidance of a preliminary recognition process by imaging in visible, near-infrared and long wave infrared wavebands and can solve the problems of incomplete waveband imaging, restricted optical layout, large device size, and poor ability to detect moving objects and dynamic behaviors in prior art. The invention features small size, high integration and being convenient and flexible to use, and can realize image and spectrum detection of moving objects and dynamic behaviors in an ultra-wide waveband and switch a tracking and recognition process for different targets automatically and therefore can be widely used in national economy and national security.
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:
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. The method includes: establishing an urban hierarchical three-dimensional temperature field model according to urban street DEM data and geological data corresponding to urban streets; acquiring urban stratum geological background heat flux according to the urban hierarchical three-dimensional temperature field model; using a total solar radiation energy distribution model to calculate urban surface total solar radiation energy; sequentially filtering out the urban surface total solar radiation energy and the urban stratum geological background heat flux from an infrared remote sensing image of a region corresponding to a strip-like underground target, to acquire a perturbation signal image of an urban street deeply-buried strip-like passage; and using grayscale closed-operation plus an edge detection algorithm to perform detection and positioning after preprocessing the perturbation signal image of the urban street deeply-buried strip-like passage, to acquire location information of an urban strip-like underground passage. The present invention achieves inverse detection and positioning of an urban street deeply-buried strip-like passage.
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. The visible near-infrared spectrum dictionary can support a novel computational spectrometry imaging spectrometer.