Suppressing Reflected Guided Waves From Contaminated Borehole Radar Data

Huo, Jianjian; Zhou, Binzhong; Zhao, Qing; Mason, I. M.

doi:10.1109/lgrs.2018.2880753

Cited by 11 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remote sensing image processing software is mainly a tool software that provides technical support for the application of remote sensing monitoring data to different industries. Since 2008, China has developed the first generation of remote sensing image processing software, namely pixel information expert (PIE) [21,22]. PIE is mainly used to analyze and process remote sensing monitoring data and apply it to different industries to provide technical support.…”

Section: Overview Of Pie Remote Sensing Image Processingmentioning

confidence: 99%

Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software

Wang

2022

Journal of Robotics

View full text Add to dashboard Cite

With the continuous improvement of people’s demand for ecological environment quality, the research on ecological environment monitoring, analysis and evaluation had been paid more and more attention by relevant departments and personnel. Because the images collected by remote sensing technology were many and multi-source, the features extracted from remote sensing images using traditional methods had been difficult to meet the needs of related industry applications. Therefore, this paper made use of the advantages of PIE remote sensing image processing software in data analysis and processing, and put forward the research on ecological environment monitoring, analysis and evaluation methods. Firstly, on the basis of summarizing the concepts and related problems of ecological environment, this paper analyzed the processing methods of remote sensing data sources of ecological environment, and explained the evaluation standards and common methods of ecological environment. Secondly, the composition of PIE remote sensing image processing technology system and its application advantages were described, the common indicators and analysis methods of ecological environment monitoring were given, and the index system and model of ecological environment comprehensive evaluation were established. Finally, through the analysis of experimental cases, the results showed that the ecological environment monitoring analysis and evaluation method proposed in this paper was feasible. Compared with the traditional methods, the method proposed in this paper could objectively evaluate the ecological environment. This paper can not only provide support for the analysis and processing of remote sensing image data, but also provide an important reference for the application of remote sensing technology in the field of ecological environment.

show abstract

Section: Overview Of Pie Remote Sensing Image Processingmentioning

confidence: 99%

Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software

Wang

2022

Journal of Robotics

View full text Add to dashboard Cite

show abstract

“…To enhance the reflected guided BHR waves, a 7‐trace, moving average error filter (Zhou, Hatherly and Sun ; Huo et al . ) was applied to the raw data, and the filtered result was followed by the application of a 25 ns automatic gain control (AGC). The result is presented in Figure (b), where the reflected guided BHR waves from coal seam roof and floor can be easily observed.…”

Section: Numerical Modelling Analysis Of Coal Top Prediction By Guidementioning

confidence: 99%

“…Figure 3(a) shows the raw profile, which is dominated by the direct arrival and has no indication of any reflected guided BHR waves as they are relatively weak compared to the direct waves. To enhance the reflected guided BHR waves, a 7-trace, moving average error filter (Zhou, Hatherly and Sun 2017;Huo et al 2019a) was applied to the raw data, and the filtered result was followed by the application of a 25 ns automatic gain control (AGC). The result is presented in Figure 3(b), where the reflected guided BHR waves from coal seam roof and floor can be easily observed.…”

Section: Geological Model and Corresponding Bhr Profilementioning

confidence: 99%

Coal top detection by conductively guided borehole radar wave imaging for open cut blast‐hole drilling

Zhou

Werken

Huo

2019

Geophysical Prospecting

Self Cite

View full text Add to dashboard Cite

Damage to the top of coal seams, caused by incorrect blast stand‐off distances, results in coal losses of up to 10–15% to the Australian open cut coal mining operations. This is a serious issue to be addressed. Here we propose to use a new forward‐looking imaging technique based on the borehole radar technology to predict the coal seam top in real time while drilling blast holes. This is achieved by coupling the conventional borehole radar waves on to a steel drill rod to induce a guided wave along the axial drill rod. The drill rod ahead of the borehole radar behaves as a forward‐looking antenna for the guided waves. Both numerical modelling and field trials simulating a drill rod as an antenna are used to investigate the feasibility of the proposed technique for prediction of the coal top under typical open cut environments. Numerical modelling demonstrated that conductivity of the overburden is the most important factor affecting our ability to see coal seams ahead of the drill bit, the guided borehole radar waves could be used for top coal prediction and a theoretical prediction error less than 10 cm and a forward‐looking capability of 4–6 m can be achieved. Field trials at Australian open cut coal mines also demonstrated that guided borehole radar waves can be observed and used for prediction of coal top ahead of drill bit during blast‐hole drilling in resistive, open cut environments (the average resistivity should be higher than 75 Ωm).

show abstract

“…Figure 2b shows the original synthetic mono-static BHR profile from the model in Figure 2a, with very strong direct arrivals dominated from the Tx. A moving average error filter with a length of 7 traces is applied to the original data ( Figure 2b) in order to suppress the direct waves and enhance the other signals (Huo et al, 2018). The processed result is displayed in Figure 2c, in which guided wave reflections from the fractures and boundaries intersected by the borehole create obvious V-shapes.…”

Section: Numerical Examplementioning

confidence: 99%

“…We have found (Mason et al, 2008;Zhou and van de Werken, 2015;Mao and Zhou, 2017) that if a BHR is attached to a conductive wire or runs in a conductive saline water-filled borehole, then reflected guided borehole radar waves, travelling along the borehole, are often recorded. They can interfere with normal BHR surveys and can be suppressed (Huo et al, 2018). However, drill-string guided BHR waves can be used for seeing ahead of the drill-bit (Zhou and van de Werken, 2015;Mao and Zhou, 2017;Zhou and Madden, 2018) and detecting geological interfaces especially for those interfaces sub-perpendicular to the borehole (Mason et al, 2008;Zhou and van de Werken, 2015).…”

Section: Introductionmentioning

confidence: 99%