Remote Sensing Image Classification Based on Stacked Denoising Autoencoder

Focused on the issue that conventional remote sensing image classification methods have run into the bottlenecks in accuracy, a new remote sensing image classification method inspired by deep learning is proposed, which is based on Stacked Denoising Autoencoder. First, the deep network model is buil...

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Bibliographic Details
Main Authors: Peng Liang, Wenzhong Shi, Xiaokang Zhang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/10/1/16