Background: Multi-spectral imaging detection technology is a new generation of optical
remote sensing detection technology, it can obtain exact color information, and according to features of
acquired data it can get more spectral information, at the same time, the multi-spectral imaging
technology can overcome the phenomenon of “same color different spectrum”, it can make imaging
detection and identification of target object accurately and effectively, according to the structure of the
image sensor, imaging principle, data read mode, and on the basis of a variety of spectral imaging
system, the principle and structure of multi-spectral imaging system were proposed based on single
camera and FPGA chip, the designed system can receive the four parallel outputs of CMOS sensor data,
and the system takes them as four separate signals respectively in image processing.
Methods: Multi-spectral imaging system overall design system overall design scheme of structure, it
includes both hardware and software systems, hardware system includes the construct of multi-spectral
imaging system, system calibration, spectral imaging experiment and imaging difference comparative
study, etc. Software system includes the design of the spectrum reconstruction model and algorithm.
Multispectral imaging detection technology can be in more than one through pre-selected characteristic
spectrum band imaging detection of target scenario, and can well realize the authenticity of a color close
target recognition, clutter background suppression and other traditional image detectors can't complete
the task of wide band. Although, multi-spectral imaging detection technology compared with
hyperspectral imaging detection technology in spectral imaging can greatly reduce the number of
wavelengths, it cannot reach identification precision of the target species, and be adapt to more class
scene, the pixels, target recognition, and other functions.
But in specific scenarios, through study in advance good target and the background signal intensity
differences of spectral bands, the background noise ratio target can be improved, the detection
performance can also be improved. Most importantly multi-spectral imaging detector has simple
structure, small volume and can realize miniaturization of tactical observation equipment, and thus it
can meet the needs of variety of occasions. For a long time, multi-spectral imaging sensor does not get
more attention not like a hyperspectral image sensor, and related theoretical innovation and
technological innovation are lacked. Aimed at the problem according to the image plane segmentation
imaging patent, we design a novel visible wavelengths integral four band spectral imaging optical path
structure. The four bands imaging optical path structure which is similar to color multi-spectral imaging
of target identification, in the experiment narrow-band filters imaging in different regions of the
spectrum, clustering techniques to target the multispectral image data are analyzed, and the multispectral
imaging detection technology in target recognition application are verified.
Conclusion: In the paper, it presents overall structure of multi-spectral remote sensing imaging system
and the imaging unit, optical path system, the control unit and the design of the mechanical structure,
and repeated in different time, different illumination conditions, different imaging angle repeated multispectral
imaging test, through the preliminary analysis of the experimental data, the multi-spectral
imaging system can satisfy the specific spectrum, multi-spectral imaging of different bandwidth
requirement, but in different frequency band its imaging ability can be further improved.