| 跨孔视电阻率异常特征的提取和识别 |
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| 引用本文： | 沙磊,史小满.跨孔视电阻率异常特征的提取和识别[J].地球科学与环境学报,1998,20(1):31. |
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| 作者姓名： | 沙磊 史小满 |
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| 作者单位： | 1. 西安工程学院信电系,西安,710054
2. 煤炭科学院西安分院,西安,710054 |
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| 摘 要： | 讨论了奇异值向量作为二维数字图象特征的理论依据并用于跨孔条件下视电阻率异常信息剖面图。对位于钻孔剖面内的三维椭球体模型，利用系统正演结果所建立的样本集，进行了视电阻率异常信息剖面图的奇异值特征提取和识别，取得了满意的初步结果。
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| 关 键 词： | 二维数字图象 奇异值特征向量 特征识别 电法勘探 |
| 修稿时间： | 1997 |
FEATURE EXTRACTION AND PATTERN RECOGNITION OF CROSS-BOREHOLE RESISTIVITY ANOMALIES |
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| Sha Lei,Shi Xiaoman.FEATURE EXTRACTION AND PATTERN RECOGNITION OF CROSS-BOREHOLE RESISTIVITY ANOMALIES[J].Journal of Earth Sciences and Environment,1998,20(1):31. |
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| Authors: | Sha Lei Shi Xiaoman |
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| Institution: | Sha Lei;
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| Abstract: | Feature extraction and pattern recognition of resistivity anomalies are key procedure of automatic quantitative interpretation.In this paper,we chiefly discuss the theoretical foundation on which the singular value vector is used as numerical feature of two dimensional image,and apply it to the information maps of apparent resistivity anomaly for cross borehole.Using the sample set created by the systematical forward data of three dimensional ellipoid models in borehole profile,we extract the feature and recognise the pattern from the information maps of apparent resisivity anomalies.The test results of the method are satisfactory. |
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| Keywords: | Two dimensional numerical image feature vector of singular value pattern recognition |
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