Research on the Variable Rate Spraying System Based on Canopy Volume Measurement

Hu, Kaiqun,Feng, Xin Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5

Characteristics of fruit tree canopies are important target information for adjusting the pesticide application rate in variable rate spraying in orchards. Therefore, the target detection of the canopy characteristics is very important. In this study, a canopy volume measurement method for peach trees was presented and a variable rate spraying system based on canopy volume measurement was developed using the ultrasonic sensing, one of the most effective target detection method. Ten ultrasonic sensors and two flow control units were mounted on the orchard air-assisted sprayer. The ultrasonic sensors were used to detect the canopy diameters and the flow controls were used to modify the flow rate of the nozzles in real time. Two treatments were established: a constant application rate of $300Lha^{-1}$ was set as the control treatment for the comparison with the variable rate application at a $0.095Lm^{-3}$ canopy. The tracer deposition at different parts of peach trees and the tracer losses to the ground (between rows and within rows) were analyzed in detail under constant rate and variable rate application. The results showed that there were no significant differences between two treatments in the liquid distribution and the capability to reach the inner parts of the crop canopies.

An Improvement Algorithm for the Image Compression Imaging

Kaiqun Hu,Xin Feng 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.1

Lines and textures are natural properties of the surface of natural objects, and their images can be sparselyrepresented in suitable frames such as wavelets, curvelets and wave atoms. Based on characteristics that thecurvelets framework is good at expressing the line feature and wavesat is good at representing texture features,we propose a model for the weighted sparsity constraints of the two frames. Furtherly, a multi-step iterativefast algorithm for solving the model is also proposed based on the split Bergman method. By introducingauxiliary variables and the Bergman distance, the original problem is transformed into an iterative solution oftwo simple sub-problems, which greatly reduces the computational complexity. Experiments using standardimages show that the split-based Bergman iterative algorithm in hybrid domain defeats the traditional Waveletsframework or curvelets framework both in terms of timeliness and recovery accuracy, which demonstrates thevalidity of the model and algorithm in this paper.

Research on the Variable Rate Spraying System Based on Canopy Volume Measurement

Kaiqun Hu,Xin Feng 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

Characteristics of fruit tree canopies are important target information for adjusting the pesticide applicationrate in variable rate spraying in orchards. Therefore, the target detection of the canopy characteristics is veryimportant. In this study, a canopy volume measurement method for peach trees was presented and a variablerate spraying system based on canopy volume measurement was developed using the ultrasonic sensing, one ofthe most effective target detection method. Ten ultrasonic sensors and two flow control units were mounted onthe orchard air-assisted sprayer. The ultrasonic sensors were used to detect the canopy diameters and the flowcontrols were used to modify the flow rate of the nozzles in real time. Two treatments were established: aconstant application rate of 300 Lha-1 was set as the control treatment for the comparison with the variable rateapplication at a 0.095 Lm-3 canopy. The tracer deposition at different parts of peach trees and the tracer lossesto the ground (between rows and within rows) were analyzed in detail under constant rate and variable rateapplication. The results showed that there were no significant differences between two treatments in the liquiddistribution and the capability to reach the inner parts of the crop canopies.

Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform

Hu, Kaiqun,Feng, Xin Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.5

For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complex selection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initial fused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cut is performed on the initial fused image to obtain different segmented regions. Then, the original image is subjected to NSCT transformation and the absolute value of the high frequency component coefficient in each segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusion region, and the fused multi-focus image is obtained by traversing each segment region. Numerical experiments show that the proposed algorithm can not only simplify the selection of fusion rules, but also overcome loss of definition and has validity.

Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform

( Kaiqun Hu ),( Xin Feng ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.5

For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complex selection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initial fused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cut is performed on the initial fused image to obtain different segmented regions. Then, the original image is subjected to NSCT transformation and the absolute value of the high frequency component coefficient in each segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusion region, and the fused multi-focus image is obtained by traversing each segment region. Numerical experiments show that the proposed algorithm can not only simplify the selection of fusion rules, but also overcome loss of definition and has validity.

Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering

Feng, Xin,Hu, Kaiqun Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.6

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.

Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering

Xin Feng,Kaiqun Hu 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.6

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailedinformation in current fusion methods, an infrared and visible light image fusion method based on variationalmultiscale decomposition is proposed. Firstly, the fused images are separately processed through variationalmultiscale decomposition to obtain texture components and structural components. The method of guidedfilter is used to carry out the fusion of the texture components of the fused image. In the structural componentfusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightnesscomprehensive information. Finally, the texture components of the two images are fused. The structurecomponents are added to obtain the final fused image. The experimental results show that the proposed methoddisplays very good noise robustness, and it also helps realize better fusion quality.