This paper has carried out experiments on the influence of spectral resolution and channel number on the camouflage target recognition of imaging spectrometer. Based on the measured data, the camouflage helmet is selected as the spectral curve of camouflage target for resampling, and the spectral curve obtained under different spectral resolution and channel number conditions is simulated. Qualitative analysis is carried out by graphic method, interpolation operation is carried out on the resampling spectral data, and quantitative analysis is carried out by using SAM (Sepctral Angle Mapper) method. The resampling target characteristic spectral curve is compared with the original spectral curve in different ranges. The experimental conclusion is obtained by analyzing the spectral characteristics of the camouflage target under different spectral resolution and different channel number conditions, it can provide theoretical basis and technical support for the determination and optimization of spectral resolution and channel number of imaging spectrometer used for camouflage target recognition.
Aiming at the application requirements of camouflage effectiveness evaluation of targets (personnel, vehicles covered with camouflage nets, aircraft and other camouflage equipment), a near-infrared light imaging spectrometer based on acousto-optic tunable filter (AOTF) is developed to collect the optical characteristic data of targets. By analyzing the AOTF light splitting principle and the synchronous control principle of the RF driver and COMS camera, combined with the actual needs of the imaging spectrometer in the project, the design scheme of the data acquisition system is formulated, the design process of the system based on the QT Creator platform is described in detail, and the acquisition software is developed.
As a highly concerned hyperspectral image target detection field, it has important research value and application prospects both in military and civil. Starting with the working principle and system structure of spectral imager based on AOTF, the polarization information pretreatment, judgment of connected area and contour extraction are added to the classical algorithm of CEM target detection, which provides a more reliable judgment basis for target detection. Finally, the target detection experiments on spectral images of metal objects are carried out. The results show that the detection efficiency of the proposed algorithm is significantly improved, and it is more suitable for detecting targets whose spectral characteristics are not obvious.
The paper presents a hardware in loop dynamic IR scene simulation technology for IR hyperspectral imaging system. Along with fleetly development of new type EO detecting, remote sensing and hyperspectral imaging technique, not only static parameters’ calibration of hyperspectral IR imaging system but also dynamic parameters’ testing and evaluation are required, thus hyperspectral dynamic IR simulation and evaluation become more and more important. Hyperspectral dynamic IR scene projector utilizes hyperspectral space and time domain features controlling spectrum and time synchronously to realize hardware in loop simulation. Hyperspectral IR target and background simulating image can be gained by the accomplishment of 3D model and IR characteristic romancing, hyperspectral dynamic IR scene is produced by image converting device. The main parameters of a developed hyperspectral dynamic IR scene projector: wave band range is 3~5μm, 8~12μm; Field of View (FOV) is 8°; spatial resolution is 1024×768; spectrum resolution is 1%~2%. IR source and simulating scene features should be consistent with spectrum characters of target, and different spectrum channel’s images can be gotten from calibration. A hyperspectral imaging system splits light with dispersing type grating, pushbrooms and collects the output signal of dynamic IR scene projector. With hyperspectral scene spectrum modeling, IR features romancing, atmosphere transmission feature modeling and IR scene projecting, target and scene in outfield can be simulated ideally, simulation and evaluation of IR hyperspectral imaging system’s dynamic features are accomplished in laboratory.
Airborne Forward looking infra-red (FLIR) searcher simulation system can provide multi-mode simulated test
environment that almost actual field environment, and can simulate integrated performance and external interface of
airborne FLIR simulation system. Furthermore, the airborne FLIR searcher simulation system can support the algorithm
optimization of image processing, and support the test and evaluation of electro-optical system, and also support the line
test of software and evaluate the performance of the avionics system. The detailed design structure and information
cross-linking relationship of each component are given in this paper. The simulation system is composed of the
simulation center, the FLIR actuator, the FLIR emulator, and the display control terminal. The simulation center can
generate the simulated target and aircraft flying data in the operation state of the airborne FLIR Searcher. The FLIR
actuator can provide simulation scene. It can generate the infrared target and landform based scanning scene, response to
the commands from simulation center and the FLIR actuator and operation control unit. The infrared image generated by
the FLIR actuator can be processed by the FLIR emulator using PowerPC hardware framework and processing software
based on VxWorks system. It can detect multi-target and output the DVI video and the multi-target detection information
which corresponds to the working state of the FLIR searcher. Display control terminal can display the multi-target
detection information in two-dimension situation format, and realize human-computer interaction function.
An acousto-optic tunable filter (AOTF) is an acousto-optic modulator. In this paper, the characteristics and overall
design method of AOTF hyperspectral imaging system are proposed, which operates in visible or near infrared waveband
(0.4-1.0um) and middle wave or long wave (3-5um and 8-12um). Compared with conventional dispersion element, the
AOTF hyperspectral imaging system has a larger clear aperture because of the special characteristic of beam separation
mode. In particularly, if the non-collinear design mode is used, the AOTF will have a larger diffraction aperture angle
and is more suitable for the application in spectral imaging domain. The AOTF hyperspectral imaging spectrometer that
operates in visible/near infrared waveband was developed by the non-collinear TeO2 crystal (8mm×8mm). All lights that
are through TeO2 crystal in whole field of view (FOV angle is 5 degree) forms an imagines onto the staring focal plane
array by Bragg diffraction. The diffraction wavelength of AOTF can be adjusted by the radio frequency signal. The
three-dimensional data cube is composed of two-dimension of object space and wavelength in this way, and the graph
and spectral are synthesized and implemented. The AOTF hyperspectral imaging spectrometer operating in visible/near
infrared waveband is analyzed, and the detailed analysis data is also presented. The AOTF hyperspectral imaging test is
studied and developed, and the analysis of data and the next developing advice is given. We also analyze the method
about selection of material and technological design in middle wave/long wave infrared waveband of AOTF
hyperspectral imaging system.
The airborne multispectral imaging fusion detection technology is proposed in this paper. In this design scheme, the
airborne multispectral imaging system consists of the multispectral camera, the image processing unit, and the stabilized
platform. The multispectral camera can operate in the spectral region from visible to near infrared waveband (0.4-1.0um),
it has four same and independent imaging channels, and sixteen different typical wavelengths to be selected based on the
different typical targets and background. The related experiments were tested by the airborne multispectral imaging
system. In particularly, the camouflage targets were fused and detected in the different complex environment, such as the
land vegetation background, the desert hot background and underwater. In the spectral region from 0.4 um to 1.0um, the
three different characteristic wave from sixteen typical spectral are selected and combined according to different
backgrounds and targets. The spectral image corresponding to the three characteristic wavelengths is resisted and fused
by the image processing technology in real time, and the fusion video with typical target property is outputted. In these
fusion images, the contrast of target and background is greatly increased. Experimental results confirm that the airborne
multispectral imaging fusion detection technology can acquire multispectral fusion image with high contrast in real time,
and has the ability of detecting and identification camouflage objects from complex background to targets underwater.
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