Remote sensing image classification based on RBF neural network based on fuzzy C-means clustering algorithm
Author:
Affiliation:
1. School of Information Engineering, Xijing University, Xi’an, Shaanxi, China
2. Engineering Training Center, Xi’an University of Technology, Xi’an, Shaanxi, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference10 articles.
1. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification;Maggiori;IEEE Transactions on Geoscience & Remote Sensing,2016
2. Stacked Autoencoder-Based Deep Learning for Remote-Sensing Image Classification: A Case Study of African Land-Cover Mapping;Li;International Journal of Remote Sensing,2016
3. Kim-Kwang R. Choo, L. Wang and F. Huang, SVM or Deep Learning? A Comparative Study on Remote Sensing Image Classification;Liu;Soft Computing,2017
4. Marta Gans: Unsupervised Representation Learning for Remote Sensing Image Classification;Lin;IEEE Geoscience & Remote Sensing Letters,2017
5. Unsupervised Cross-View Semantic Transfer for Remote Sensing Image Classification;Sun;IEEE Geoscience & Remote Sensing Letters,2016
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