An Attention-Based LSTM Lithological Classification Using Multisensor Datasets
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Resources and Environment,Chengdu,China,611731
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640989.pdf?arnumber=10640989
Reference15 articles.
1. Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine Learning Multi-Classifiers
2. Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
3. Geological Remote Sensing Interpretation Using Deep Learning Feature and an Adaptive Multisource Data Fusion Network
4. Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen
5. Squeeze-and-Excitation Networks
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