Amanote Research
Register
Sign In
An End-To-End Local-Global-Fusion Feature Extraction Network for Remote Sensing Image Scene Classification
Remote Sensing
- Switzerland
doi 10.3390/rs11243006
Full Text
Open PDF
Abstract
Available in
full text
Categories
Earth
Planetary Sciences
Date
December 13, 2019
Authors
Yafei Lv
Xiaohan Zhang
Wei Xiong
Yaqi Cui
Mi Cai
Publisher
MDPI AG
Related search
Deep fMRI: AN End-To-End Deep Network for Classification of fMRI Data
Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division
Journal of Spectroscopy
Optics
Analytical Chemistry
Atomic
Spectroscopy
Molecular Physics,
Remote Sensing Scene Classification Using Multiple Pyramid Pooling
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Approximating JPEG 2000 Wavelet Representation Through Deep Neural Networks for Remote Sensing Image Scene Classification
The Comparison of PCA and Discrete Rough Set for Feature Extraction of Remote Sensing Image Classification – A Case Study on Rice Classification, Taiwan
Computational Geosciences
Computational Theory
Computer Science Applications
Computers in Earth Sciences
Computational Mathematics
Mathematics
The BP Neural Network for Improvement of Classification Accuracy in Remote Sensing Image
International Journal of Environmental Protection and Policy
Discriminative Data Transform for Image Feature Extraction and Classification
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
End-To-End Network Slicing for 5G Mobile Networks
Journal of Information Processing
Feature Extraction on Local Jet Space for Texture Classification
Physica A: Statistical Mechanics and its Applications
Statistics
Condensed Matter Physics
Probability
