Classification for Remote Sensing Data With Improved CNN-SVM Method

Classification for Remote Sensing Data With Improved CNN-SVM Method

The efficient classification of remote sensing images (RSIs) has become the key of remote sensing application. To tackle the high computational cost in the traditional classification method, in this paper we propose a new RSI classification method based on improved convolutional neural network (CNN)...

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Bibliographic Details
Main Authors: Xiankun Sun, Lan Liu, Chengfan Li, Jingyuan Yin, Junjuan Zhao, Wen Si
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data mining
remote sensing
convolutional neural network
support vector machine
classification
Online Access:https://ieeexplore.ieee.org/document/8895957/

Internet

https://ieeexplore.ieee.org/document/8895957/

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