Automatic Identification of the Rock-Soil Interface and Solution Fissures From Optical Borehole Images Based on Color Features
文献类型：期刊论文
| 作者 | Li, Li; Yu, Cui; Han, Zengqiang; Sun, Tao |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 12期号:10页码:3862-3873 |
| 关键词 | Borehole image image processing rock-soil interface recognition segmentation self-adaptive hue saturation value (HSV) color model solution fissures recognition |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2019.2940513 |
| 英文摘要 | For high-resolution borehole images obtained from digital panoramic borehole cameras, a method for recognizing the rock-soil interface and solution fissures based on color is proposed. Owing to the significantly different colors of geotechnical stratifications, such as the rock-soil interface and solution fissures, compared with bedrock, a self-adaptive geotechnical stratification detection model based on the hue, saturation, value (HSV) color space was established. A binarized image of the geotechnical stratification in the borehole was then obtained using this model. The binary image was filtered to depress the noise, and then segmented. The density of pixels in each segment was calculated to determine the depth, area, and orientation of the rock-soil interface and solution fissures, thereby identifying the geotechnical stratification in the borehole image. Verification of the method with many borehole images and comparisons with corresponding borehole radar images illustrates that it can accurately and quickly identify all rock-soil interfaces and solution fissures in a borehole. The proposed method provides a new automated, efficient, and reliable means of identifying borehole rock structures for engineering applications. |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000503182000015 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/14861]  |
| 专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
| 作者单位 | 1.Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China; 2.Chinese Acad Sci, Geotech Engn Inst Rock & Soil Mech, State Key Lab Geomech, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Li,Yu, Cui,Han, Zengqiang,et al. Automatic Identification of the Rock-Soil Interface and Solution Fissures From Optical Borehole Images Based on Color Features[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(10):3862-3873. |
| APA | Li, Li,Yu, Cui,Han, Zengqiang,&Sun, Tao.(2019).Automatic Identification of the Rock-Soil Interface and Solution Fissures From Optical Borehole Images Based on Color Features.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(10),3862-3873. |
| MLA | Li, Li,et al."Automatic Identification of the Rock-Soil Interface and Solution Fissures From Optical Borehole Images Based on Color Features".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.10(2019):3862-3873. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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