In-Situ Soil Characterization by Vision Cone Penetrometer (V-CPT).

PI: Roman D. Hryciw, University of Michigan“通过视觉锥穿透仪进行原位土壤表征”本研究项目的目标是开发用于原位土壤表征的计算机视觉方法。用最新研制的视锥穿透仪（V-CPT）获得连续的地下图像。从数字获取的图像将确定土壤的粒度分布。为了完成这项任务，我们将研究一些可能的视觉方法。它们包括边缘检测方案，如霍夫变换以及主动轮廓，线性扫描和纹理分析。对土壤的目视观察将提供对土壤类型和地层的连续和明确的评估。因此，提议的地下视觉探测器的现场观测将是非常可取的。研究计划包括继续改进V-CPT硬件，包括最先进的数字视频记录；先前描述的视觉技术的发展；并在密歇根大学校园和西北大学国家岩土工程试验场进行了现场测试。* * * *

Abstract Proposal: CMS 97-00128 PI: Roman D. Hryciw, University of Michigan "In-Situ Soil Characterization by Vision Cone Penetrometer" The objective of this research program is the development of computer vision methods for in-situ soil characterization. Continuous subsurface images are obtained by a recently developed Vision-Cone Penetrometer (V-CPT). From the digitally acquired images the grain size distribution of the soil will be determined. A number of possible vision approaches will be investigated to accomplish this task. They include edge detection schemes such as Hough transforms along with active contouring, linear scanning, and textural analysis. Visual observation of the soil would provide a continuous and unambiguous assessment of soil type and stratigraphy. As such, in-situ observation by the proposed Subsurface Vision Probe would be highly desirable. The research program includes continued improvement of V-CPT hardware by inclusion of state-of-the-art digital video recording; development of the previously described vision techniques; and field testing both on the University of Michigan campus and the Northwestern University National Geotechnical Experimentation Site. ****