Fully Convolutional Networks and a Manifold Graph Embedding-Based Algorithm for PolSAR Image Classification

Fully Convolutional Networks and a Manifold Graph Embedding-Based Algorithm for PolSAR Image Classification

With the rapid development of artificial intelligence, how to take advantage of deep learning and big data to classify polarimetric synthetic aperture radar (PolSAR) imagery is a hot topic in the field of remote sensing. As a key step for PolSAR image classification, feature extraction technology ba...

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Bibliographic Details
Main Authors: Chu He, Bokun He, Mingxia Tu, Yan Wang, Tao Qu, Dingwen Wang, Mingsheng Liao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
PolSAR image classification
deep learning
fully convolutional networks
manifold embedding
dimensionality reduction
Online Access:https://www.mdpi.com/2072-4292/12/9/1467

Internet

https://www.mdpi.com/2072-4292/12/9/1467

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