Improved Remote Sensing Image Classification Based on Multi-Scale Feature Fusion

Improved Remote Sensing Image Classification Based on Multi-Scale Feature Fusion

When extracting land-use information from remote sensing imagery using image segmentation, obtaining fine edges for extracted objects is a key problem that is yet to be solved. In this study, we developed a new weight feature value convolutional neural network (WFCNN) to perform fine remote sensing...

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Bibliographic Details
Main Authors: Chengming Zhang, Yan Chen, Xiaoxia Yang, Shuai Gao, Feng Li, Ailing Kong, Dawei Zu, Li Sun
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
convolutional neural network
image segmentation
multi-scale feature fusion
semantic features
gaofen 6
aerial images
land-use
tai’an
Online Access:https://www.mdpi.com/2072-4292/12/2/213

Internet

https://www.mdpi.com/2072-4292/12/2/213

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