A Greedy Flee in the Direction Routing Algorithm for Data Quality Control System of 3D Seismic Sensors Array

Wang, Longxu; Duan, Rongzhou; Yang, Hao-Jan; Tian, Ruyun; Lin, Jun; Fan, Zheng; Han, Zhu

doi:10.1109/lcomm.2021.3072247

Cited by 3 publications

(2 citation statements)

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“…In equation ( 5), B P represents the region within the green circle in figure 4(c), and B h is the white part, which represents the highlight region on an instrument. The reconstruction process of the color feature C P for pixel P is shown in equation (6), where n represents the number of non-highlight pixels bi in weighted neighborhood N P ,…”

Section: A Highlight Removal Methods Based On An Image Terrain Map Mo...mentioning

confidence: 99%

“…More importantly, the cable-free seismographs use wireless communication to transmit data without the constraint of transmission cables compared to traditional cable seismographs, which results in better portability, adaptability, and flexibility. As a result, the cable-free seismographs are widely used in seismic exploration tasks in field environments [6][7][8]. However, current seismic exploration instruments still require manual arrangement and recovery, which greatly increases exploration tasks' time, labor, and material costs while reducing operational efficiency.…”

Section: Introductionmentioning

confidence: 99%

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A highlight removal method for autonomous recovery of cable-free seismographs in field environments

Fan,

Lin,

Liu

2023

Meas. Sci. Technol.

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The cable-free seismograph is an instrument for capturing seismic wave signals, which is popularly employed in underground resource exploration tasks in complex field environments due to its high flexibility. However, the efficiency of exploration operations is low because the arrangement and recovery of instruments are done manually. Therefore, autonomously arranging and recovering cable-free seismographs will hold great significance. Nevertheless, the instrument surface will produce highlight under intense illumination in field environments, which can have a negative impact on the accuracy of segmentation and contour extraction of the instrument. It will significantly reduce the visual positioning accuracy of the instrument and ultimately fail in recovery tasks. To address this problem, we analyze the characteristics of highlight on cable-free seismographs in field environments and develop a method to remove the highlight by weighting the color features of the non-highlight pixels in the neighborhoods of highlight pixels. We realize the detection of highlight pixels based on the classical modified specular-free model and propose an image terrain map model to select the weighted neighborhoods of highlight pixels to ensure that no background pixels are involved in the process of highlight removal. The experimental results show that our method meets the requirements for contour extraction and object segmentation in the autonomous instrument recovery tasks. Furthermore, it outperforms currently existing highlight removal methods in the task of highlight removal for cable-free seismographs in field environments.

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Section: A Highlight Removal Methods Based On An Image Terrain Map Mo...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%