Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest

Saved in:
Bibliographic Details
Title: Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest
Authors: Na Yang, Zhenkai Zhang, Jianhua Yang, Zenglin Hong
Source: Natural Resources Research. 32:1-18
Publisher Information: Springer Science and Business Media LLC, 2022.
Publication Year: 2022
Subject Terms: 0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences
Document Type: Article
Language: English
ISSN: 1573-8981
1520-7439
DOI: 10.1007/s11053-022-10143-7
Rights: Springer Nature TDM
Accession Number: edsair.doi...........ffcd42a9507c82f99fdf5d9713f48eab
Database: OpenAIRE
Description
ISSN:15738981
15207439
DOI:10.1007/s11053-022-10143-7