Scene Classification of Remote Sensing Image Based on Multi-scale Feature and Deep Neural Network

Scene Classification of Remote Sensing Image Based on Multi-scale Feature and Deep Neural Network

Aiming at low precision of remote sensing image scene classification owing to small sample sizes, a new classification approach is proposed based on multi-scale deep convolutional neural network (MS-DCNN), which is composed of nonsubsampled Contourlet transform (NSCT), deep convolutional neural netw...

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Bibliographic Details
Main Authors: XU Suhui, MU Xiaodong, ZHAO Peng, MA Ji
Format: Article
Language:zho
Published: Surveying and Mapping Press 2016-07-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
remote sensing image
scene classification
deep convolutional neural network
nonsubsampled Contourlet transform
multiple-kernel support vector machine
Online Access:http://html.rhhz.net/CHXB/html/2016-7-834.htm

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