摘要
利用地面γ能谱测量方法对良渚古城墙遗址进行考古探测,目的是确定古城墙遗迹的边界、了解古城墙的展布方向。但由于γ能谱测量通常受地形、气候、统计涨落和局部干扰等因素的影响,故通过对不同成分、不同湿度、不同植被等地表因素影响下的土壤数据进行统计分析,求得校正因子,进而对地表影响因素进行校正;并利用小波滤波的方法对局部干扰和统计涨落进行了压制。该处理过程与常规的多点平滑方法相比,它更好地压制了局部干扰和统计涨落,将约40 m宽的城墙遗迹边界在图像上清晰地呈现出来,与开挖结果基本相符,对古城墙的确定起到了重要作用。
In order to determine the boundary of ancient wall remains and to understand their distribution direction,the γ-ray spectrometry was employed to detect the areas of Liangzhu ancient ruins.Because of the γ-ray spectrometry data measured usually influenced by terrain,climate,statistical fluctuation,local interference factors,etc.,the authors provided a method to correct the surface influence factors by calibration factor obtained from the statistical analysis on the soil data affected by ground factors such as different composition,humidity,vegetation,etc.,and the method of wavelet filtering was employed to suppress both local interference and statistical fluctuation.Though the contrast with the result of multi-point smoothing method,this processing procedure has a better suppression on local interference factors and statistical fluctuation,and the 40-meter-wide boundary of ancient wall remains was clearly showed in the result image.The result obtained was coincided with the excavation result.This had been played an important role in the determination of ancient wall remains.
出处
《吉林大学学报（地球科学版）》
EI
CAS
CSCD
北大核心
2010年第2期439-446,共8页
Journal of Jilin University：Earth Science Edition
基金
国家自然科学基金项目(40874059)
四川省地学核技术重点实验室开放基金项目(27-3)
吉林大学种子基金项目(498042300423)
浙江大学曹光彪高科技发展基金项目(2008ZD003)
关键词
考古探测
Γ能谱测量
小波滤波
archeological detection exploration
γ-ray spectrometry
wavelet filtering
