Remote Sensing Image Scene Classification via Regional Growth-Based Key Area Fine Location and Multilayer Feature Fusion
Author:
Affiliation:
1. School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China
Funder
Major Project of University Natural Science Research of Anhui Province
Domestic Visit and Training Program for the Youth Elite in Universities of Anhui Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10004561.pdf?arnumber=10004561
Reference21 articles.
1. Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention
2. A Lightweight and Discriminative Model for Remote Sensing Scene Classification With Multidilation Pooling Module
3. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
4. Remote Sensing Image Scene Classification Using CNN-CapsNet
5. PyTorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,2019
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