MFCSNet: Multi-Scale Deep Features Fusion and Cost-Sensitive Loss Function Based Segmentation Network for Remote Sensing Images

MFCSNet: Multi-Scale Deep Features Fusion and Cost-Sensitive Loss Function Based Segmentation Network for Remote Sensing Images

Semantic segmentation of remote sensing images is an important technique for spatial analysis and geocomputation. It has important applications in the fields of military reconnaissance, urban planning, resource utilization and environmental monitoring. In order to accurately perform semantic segment...

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Bibliographic Details
Main Authors: Ende Wang, Yanmei Jiang, Yong Li, Jingchao Yang, Mengcheng Ren, Qingchun Zhang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
semantic segmentation
remote sensing images
feature fusion
cost-sensitive
Online Access:https://www.mdpi.com/2076-3417/9/19/4043

Internet

https://www.mdpi.com/2076-3417/9/19/4043

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