A Ground-Roll Separation Method Based on Neural Networks With Morphological Similarity Loss-Reference-Cited by-同舟云学术

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A Ground-Roll Separation Method Based on Neural Networks With Morphological Similarity Loss

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Tian Xingyu¹^ORCID,Ao Yile¹^ORCID,Li Yanda¹,Lu Wenkai¹^ORCID

Affiliation:

1. Department of Automation, Institute for Artificial Intelligence (THUAI), State Key Laboratory of Intelligent Technology and Systems, Beijing National Research Center for Information Science and Technology (BNRIST), Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China through the Multivariate Information Compatibility Expression via Artificial Intelligence

NSFC Youth Science Foundation Project

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10256126.pdf?arnumber=10256126

Reference18 articles.

1. Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

2. Face Recognition Using Gabor Filter Bank, Kernel Principle Component Analysis and Support Vector Machine

3. LGCN: Learnable Gabor Convolution Network for Human Gender Recognition in the Wild

4. Classification of Hyperspectral Images by Gabor Filtering Based Deep Network

5. Reservoir Prediction Based on Closed-Loop CNN and Virtual Well-Logging Labels

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