A Multi-Convolutional Autoencoder Approach to Multivariate Geochemical Anomaly Recognition

A Multi-Convolutional Autoencoder Approach to Multivariate Geochemical Anomaly Recognition

The spatial structural patterns of geochemical backgrounds are often ignored in geochemical anomaly recognition, leading to the ineffective recognition of valuable anomalies in geochemical prospecting. In this contribution, a multi-convolutional autoencoder (MCAE) approach is proposed to deal with t...

Full description

Bibliographic Details
Main Authors: Lirong Chen, Qingfeng Guan, Bin Feng, Hanqiu Yue, Junyi Wang, Fan Zhang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Minerals
Subjects:
multivariate geochemical anomalies
convolutional autoencoder
spatial structure
global Moran’s I
Online Access:https://www.mdpi.com/2075-163X/9/5/270

Internet

https://www.mdpi.com/2075-163X/9/5/270

Similar Items