A remote sensing image classification procedure based on multilevel attention fusion U-Net

A remote sensing image classification procedure based on multilevel attention fusion U-Net

Traditional convolutional neural network almost cannot obtain satisfactory classification results of the remote sensing images due to the large differences in the size and spectral characteristics of the objects. In addition, the complex background environment will also bring interference to the cla...

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Bibliographic Details
Main Authors: LI Daoji, GUO Haitao, LU Jun, ZHAO Chuan, LIN Yuzhun, YU Donghang
Format: Article
Language:zho
Published: Surveying and Mapping Press 2020-08-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
object classification
remote sensing image
attention mechanism
u-shape convolutional neural network
semantic segmentation
Online Access:http://html.rhhz.net/CHXB/html/2020-8-1051.htm

Internet

http://html.rhhz.net/CHXB/html/2020-8-1051.htm

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