Aiming at the urgent need of infrared radiation characteristics of different types of targets of interest under typical sea conditions in the development of high-precision missile infrared imaging guidance weapons, a model data-driven infrared radiation modeling method was developed. Firstly, by studying the influence factors of the system's full link in the Marine environment, the atmospheric radiative transfer model is constructed, and the theoretical values of the target and background parameters are calculated. Secondly, through the consistency comparison between the measured results and the theoretical model, the simulation target model is iterated to improve the system accuracy. Finally, the measured radiation luminance data of different bands and the theoretical modeling data of the same ship target in head-on and side-head-on attitude are compared and analyzed. The results show that the model prediction is in good agreement with the measured results, and the error is less than 15%. The proposed model is reliable and feasible, which can lay a model foundation for the follow-up development of infrared imaging guidelines, and provide technical support for the detection and recognition of sea surface targets.
During the research of hyper-spectral imaging spectrometer, how to process the huge amount of image data is a difficult problem for all researchers. The amount of image data is about the order of magnitude of several hundred megabytes per second. The only way to solve this problem is parallel computing technology. With the development of multi-core CPU and GPU,parallel computing on multi-core CPU or GPU is increasingly applied in large-scale data processing. In this paper, we propose a new parallel computing solution of hyper-spectral data processing which is based on the multi-CPU and multi-GPU heterogeneous computing platform. We use OpenMP technology to control multi-core CPU, we also use CUDA to schedule the parallel computing on multi-GPU. Experimental results show that the speed of hyper-spectral data processing on the multi-CPU and multi-GPU heterogeneous computing platform is apparently faster than the traditional serial algorithm which is run on single core CPU. Our research has significant meaning for the engineering application of the windowing Fourier transform imaging spectrometer.
Infrared scene simulation system can simulate multifold objects and backgrounds to perform dynamic test and evaluate EO detecting system in the hardware in-the-loop test. The basic structure of a dual-waveband dynamic IR scene projector was introduced in the paper. The system’s core device is an IR Digital Micro-mirror Device (DMD) and the radiant source is a mini-type high temperature IR plane black-body. An IR collimation optical system which transmission range includes 3~5μm and 8~12μm is designed as the projection optical system. Scene simulation software was developed with Visual C++ and Vega soft tools and a software flow chart was presented. The parameters and testing results of the system were given, and this system was applied with satisfying performance in an IR imaging simulation testing.
This paper presents a simulation method of hyper-spectral dynamic scene and image sequence for hyper-spectral equipment evaluation and target detection algorithm. Because of high spectral resolution, strong band continuity, anti-interference and other advantages, in recent years, hyper-spectral imaging technology has been rapidly developed and is widely used in many areas such as optoelectronic target detection, military defense and remote sensing systems. Digital imaging simulation, as a crucial part of hardware in loop simulation, can be applied to testing and evaluation hyper-spectral imaging equipment with lower development cost and shorter development period. Meanwhile, visual simulation can produce a lot of original image data under various conditions for hyper-spectral image feature extraction and classification algorithm. Based on radiation physic model and material characteristic parameters this paper proposes a generation method of digital scene. By building multiple sensor models under different bands and different bandwidths, hyper-spectral scenes in visible, MWIR, LWIR band, with spectral resolution 0.01μm, 0.05μm and 0.1μm have been simulated in this paper. The final dynamic scenes have high real-time and realistic, with frequency up to 100 HZ. By means of saving all the scene gray data in the same viewpoint image sequence is obtained. The analysis results show whether in the infrared band or the visible band, the grayscale variations of simulated hyper-spectral images are consistent with the theoretical analysis results.
This paper presents a simulation method of hyperspectral dynamic scene and image sequence for hyperspectral equipment evaluation and target detection algorithm. Because of high spectral resolution, strong band continuity, anti-interference and other advantages, in recent years, hyperspectral imaging technology has been rapidly developed and is widely used in many areas such as optoelectronic target detection, military defense and remote sensing systems. Digital imaging simulation, as a crucial part of hardware in loop simulation, can be applied to testing and evaluation hyperspectral imaging equipment with lower development cost and shorter development period. Meanwhile, visual simulation can produce a lot of original image data under various conditions for hyperspectral image feature extraction and classification algorithm. Based on radiation physic model and material characteristic parameters this paper proposes a generation method of digital scene. By building multiple sensor models under different bands and different bandwidths, hyperspectral scenes in visible, MWIR, LWIR band, with spectral resolution 0.01μm, 0.05μm and 0.1μm have been simulated in this paper. The final dynamic scenes have high real-time and realistic, with frequency up to 100 HZ. By means of saving all the scene gray data in the same viewpoint image sequence is obtained. The analysis results show whether in the infrared band or the visible band, the grayscale variations of simulated hyperspectral images are consistent with the theoretical analysis results.
The design of the collimator for dynamic infrared (IR) scene simulation based on the digital micro-mirror devices (DMD) is present in this paper. The collimator adopts a reimaging configuration to limit in physical size availability and cost. The aspheric lens is used in the relay optics to improve the image quality and simplify the optics configuration. The total internal reflection (TIR) prisms is located between the last surface of the optics and the DMD to fold the raypaths of the IR light source. The optics collimates the output from 1024×768 element DMD in the 8~10.3μm waveband and enables an imaging system to be tested out of 8° Field Of View (FOV). The long pupil distance of 800mm ensures the remote location seekers under the test.
During the research of hyper-spectral imaging spectrometer, how to process the huge amount of image data is a difficult problem for all researchers. The amount of image data is about the order of magnitude of several hundred megabytes per second. Traditional solution of the embedded hyper-spectral data processing platform such as DSP and FPGA has its own drawback. With the development of GPU, parallel computing on GPU is increasingly applied in large-scale data processing. In this paper, we propose a new embedded solution of hyper-spectral data processing platform which is based on the embedded GPU computer. We also give a detailed discussion of how to acquire and process hyper-spectral data in embedded GPU computer. We use C++ AMP technology to control GPU and schedule the parallel computing. Experimental results show that the speed of hyper-spectral data processing on embedded GPU computer is apparently faster than ordinary computer. Our research has significant meaning for the engineering application of hyper-spectral imaging spectrometer.
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.
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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