研究目的
To accurately identify and extract the parameters of rock mass structure in the drilling geological prospecting by combining borehole ground penetrating radar imaging and digital optical borehole imaging.
研究成果
The method proposed is based on the integration of digital borehole images and borehole GPR images, effectively correlating multi-characteristic information of image with actual borehole information. It improves work efficiency by recognizing images with mass processing through computer programming, identifying and extracting information of rock mass quickly and accurately. Additionally, it can be used for dielectric constant (rocky soil) estimation.
研究不足
The method's reliability and efficiency are proven, but the paper does not explicitly mention limitations.
1：Experimental Design and Method Selection:
The method involves transforming the digital optical image in color modeling, processing such as segmentation and edge refinement, and employing a matching algorithm using a transform of sinusoidal curve to extract the fitting parameters. The image feature data acquired by the borehole GPR image is integrated for verification.
2：Sample Selection and Data Sources:
Experimental images come from digital panoramic borehole camera system developed by the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, and radar image uses the GSIR SIR-20 geologic radar system.
3：List of Experimental Equipment and Materials:
Digital panoramic borehole camera system with CCD pixel number 795 * 596 and focal length 6mm, GSIR SIR-20 geologic radar system.
4：Experimental Procedures and Operational Workflow:
The process includes color modeling transformation, image pre-processing and segmentation, sine curve matching, transform of parameters, and feature extraction on GPR image.
5：Data Analysis Methods:
The approach involves fitting parameters of the sine function and integrating borehole GPR image features to extract the parameters.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
