摘要
岩浆活动是东海盆地在形成发展过程中各期构造运动伴生的产物,由于火成岩一般与围岩具有明显密度差异,从而引起局部重力异常,但火成岩引起的异常往往被区域异常所掩盖,在重力异常图上无法识别。利用改进细胞神经网络方法对东海盆地火成岩引起的重力异常进行提取,能够突出目标异常,将水平(横向)叠加异常区分开以识别火成岩。结果表明,东海盆地火成岩发育广泛,以NNE向条带状分布为主。
Magmatism is a product of tectonic movement in the process of the formation and develop- ment of the East China Sea Basin. Igneous rocks which are generally of obvious density differences with the surrounding rock, are the factor causing local gravity anomaly. However, the anomalies caused by igneous rocks are often overshadowed by regional anomaly. It is difficult to define them in the gravity anomaly map. In this paper, we used the improved cellular neural network method to ex- tract the gravity anomaly caused by the igneous rocks in the East China Sea Basin. The method has the advantage to highlight the target anomaly and distinguish them from horizontal (landscape) superim- posed anomalies. Studies show that igneous rocks developed wildly in the East China Sea Basin in NNE direction.
出处
《海洋地质前沿》
CSCD
2017年第4期53-57,共5页
Marine Geology Frontiers
基金
国家自然科学基金面上项目(41476053)
中国地质调查局项目(DD20160153)
关键词
细胞神经网络
火成岩
重力异常
东海盆地
Cellular Neural Networks
East China Sea Basin
Igneous rocks
Gravity anomaly