With the simultaneous development of jujube industry and intelligent agriculture, there is an increasing demand for collecting pre-evaluation of jujube quality using high technology. This paper proposes a non-contact multi-angle red jujube quality quantitative detection device based on light field modulation. This device realizes non-contact theoretical telemetry by superimposing multiple lenses in front of the spectrometer and uses the spatial light modulator SLM to change the size of the light field spot in order to change the detection range of the light field, and to explore the precision of red date quality detection under different light spots at multiple angles. After experimental verification, the moisture content of jujube tested by the detection device, the correlation coefficient of jujube correction set is 0.743, the correlation coefficient of prediction set is 0.694, and the average absolute error is 1.190%. The overall can make a preliminary judgment on the quality of jujube.
Radiation calibration is the core issue of quantitative remote sensing. Polarization spectrum detection can characterize fine structure. In order to improve the accuracy of remote sensing under outdoor lighting conditions, the multi-angle polarized hyperspectral images of the jujube canopy were obtained, and the quality distribution characteristics of the jujube canopy were analyzed by extracting multi-dimensional information features such as angle, polarization and spectrum from hyperspectral images. Secondly, the normalized vegetation index NDVI, With the polarization parameter such as the dolp (degree of linear polarization) and Orient to obtain the polarization parameter images of jujube. To get the other targets with obvious features and clear texture in details. Finally, by performing multi-band fitting and related processing on the hyperspectral characterizing the water content and other quality information of the jujube, a polarized hyperspectral quantitative remote sensing model was established to obtain grayscale images that characterize the spatial distribution of the water content and other qualities. This provides an important reference for the development of digital intelligent agriculture.
The composition and structure of fruit and other natural products are complex. Due to the influence of environmental factors, it is urgent to combine quantitative detection with remote sensing technology to quickly obtain the quality distribution of jujube in large area of jujube orchard. In order to improve the accuracy and efficiency of the outdoor near-surface quality detection model. The jujube is equivalent to a scattering medium with random refractive index distribution. Biological tissue optical parameters were used to describe the quality changes of jujube in different maturity stages. Through simulating different scattering conditions (particle size, the refractive index) light intensity distribution and the change law of polarization, with the hyperspectral polarization experiments of jujube in indoor and outdoor, Through Principal component analysis(PCA), Minimum Noise Fraction (MNF) reduces the dimension of the hyperspectral imageries, we compared the results and found that the polarization direction in principal component characteristics and minimum noise distribution have obvious difference, the polarization dimension difference between high_dimensional information was expressed by the noise distribution, different characteristics through the dimension of the polarization noise distribution. In the high_dimensional space. The jujubes and the leafs of canopy have obvious differences in P0_MNF14 and P45_MNF13.Jujube can be separated from the complex background. The accuracy and efficiency of near_ground remote sensing for the quality of jujube can be improved by extracting multi_dimensional characteristic information of hyperspectral polarization.
This paper classified jujube in southern Xinjiang from two bands of polarization near infrared hyperspectrum and polarization visible light, both of which could achieve good classification effect. The total classification accuracy of polarization hyperspectrum was 95.85%, Kappa coefficient was 91.64%, the total classification accuracy of polarized vis ible light was 99.32%, Kappa coefficient was 98.91%.Polarization can not only classify the jujube in southern Xinjiang well, its linear polarization degree can describe the outline of the jujube in southern Xinjiang well, and its polarization ph ase Angle can describe the texture characteristics of the jujube well, which has advantages that other classifications do n ot have. More refined classifications are possible.
With multi-scales Hyperspectral Information processing, to explore the water quality change information of jujube large area outdoor. with near the ground remote sensing monitoring method. outdoor Zaoyuan hyperspectral image atmospheric correction, PCA, and other basic treatment methods, selection of jujubes spectra and characteristic wavelengths corresponding to labeled hyperspectral database. To mark and collect jujubes in the field of view of hyperspectral camera, By analyzing and correcting the spectral consistency of indoor and outdoor jujubes, the transfer between outdoor and indoor near infrared spectrum library was carried out. Combining the indoor quality measurement of southern jujubes and spectral correlation analysis method for extracting jujubes like spectral structure and quality feature information, the relationship changes between the different scales of spatial resolution and spectral resolution of the spectrum the conclusions, The scale of Single jujube and The scale of Canopy jujube tree indoor hyperspectral detection results are in good agreement, indicating that nearly ground to carry out indoor hyperspectral spectral consistency is good, through the spectrum image out door spectral database docking and model transfer. The establishment of the high spectral quality characteristics of jujubes perception model, exploring the growth process of jujubes outdoor large area change information of water quality with near ground remote sensing. provides an important reference in the future.
To detect the quality of jujube in outdoor with hyperspectral, part of the polarized light is formed by the absorption and scattering of atmospheric and jujube. Polarization dimension contains red jujube of fine quality information, by increasing the polarization spectrum detection, further improve the detection accuracy, research methods, the characteristics of high spectral band orthogonal polarization imaging technology, to obtain samples of jujube different orthogonal polarization direction of hyperspectral images. Texture features were extracted by PCA wavelength ratio. The basic processing methods of spectral region correction and spectral smoothing were used to compare the characteristic absorption peak of 992.65nm, 1188.96nm, 1449.96nm, 1107.68 nm and 1294.68nm in both indoor and outdoor southern xinjiang jujube. Results, comparative indoor and outdoor nearly hyperspectral images found on the ground, jujube and reflection spectral absorption peak position unchanged, spectrum waveform similar, affected by different band size is different, characteristic peak place have obvious difference, the longer the wavelength, the greater the difference. The hyperspectral images of parallel and vertical components of the target were obtained, and the orthogonal differential polarization spectrum information was obtained. The preliminary results were obtained by fine remote sensing of quality of jujube. The results show that the quality information of jujube can be obtained by using the orthogonal polarization imaging technology of high spectral characteristic band. It provides an important reference for monitoring the quality change information of large area jujube.
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