摘要
为了在缺少地面实测数据的情况下对遥感油气异常结果进行验证,利用多光谱遥感数据和高光谱遥感数据对同一地区进行油气异常解译,针对同一位置使用两种不同数据的异常结果进行相互验证.并提出了利用高光谱异常提取结果作为先验知识的多光谱异常主分量阈值确定方法,将该方法与传统主分量阈值方法提取的异常结果,分别与高光谱提取出的粘土异常区域结果进行重叠率计算,发现该方法提取出的异常区与高光谱提取的结果重叠率达98.808%,高于传统主分量阈值方法的98.198%.结果表明利用该方法确定的阈值划分出的异常区具有较高的精度.
In order to verify the anomalies without any field survey data in remote sensing image caused by hydrocarbon micro seepage phenomenon, the multispectral image and hyperspectral image anomaly interpretation results are used to verify each other in this paper. A new method to confirm the multispectral principal component aberrant threshold value by counting the multispectral pixel value located in the hyperspectral anomaly area is proposed. The overlap rate between the multispectral image anomalies divided by the new method and the hyperspectral image anomay area is computed at 98.808%, higher than the traditional principal component threshold technology.
出处
《地球科学（中国地质大学学报）》
EI
CAS
CSCD
北大核心
2015年第8期1371-1380,共10页
Earth Science-Journal of China University of Geosciences
基金
国家高技术研究发展计划(863计划)项目(No.2008AA121100)
国家自然科学基金项目(No.41402293)
关键词
高光谱
多光谱
遥感
油气异常信息提取
异常阈值
异常验证.
hyperspectral image
multispectral image
remote sensing
oil and gas anomaly extraction
anomaly threshold
anomaly verification.
