Full Convolutional Neural Network Based on Multi-Scale Feature Fusion for the Class Imbalance Remote Sensing Image Classification

Full Convolutional Neural Network Based on Multi-Scale Feature Fusion for the Class Imbalance Remote Sensing Image Classification

Remote sensing image segmentation with samples imbalance is always one of the most important issues. Typically, a high-resolution remote sensing image has the characteristics of high spatial resolution and low spectral resolution, complex large-scale land covers, small class differences for some lan...

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Bibliographic Details
Main Authors: Yuanyuan Ren, Xianfeng Zhang, Yongjian Ma, Qiyuan Yang, Chuanjian Wang, Hailong Liu, Quan Qi
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
remote sensing image
image segmentation
deep learning
DeepLab V3 plus
loss function
data augmentation
Online Access:https://www.mdpi.com/2072-4292/12/21/3547

Internet

https://www.mdpi.com/2072-4292/12/21/3547

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