Dual Path Attention Net for Remote Sensing Semantic Image Segmentation

Dual Path Attention Net for Remote Sensing Semantic Image Segmentation

Semantic segmentation plays an important role in being able to understand the content of remote sensing images. In recent years, deep learning methods based on Fully Convolutional Networks (FCNs) have proved to be effective for the sematic segmentation of remote sensing images. However, the rich inf...

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Bibliographic Details
Main Authors: Jinglun Li, Jiapeng Xiu, Zhengqiu Yang, Chen Liu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
remote sensing image
semantic segmentation
fully convolutional network
convolutional neural network
self-attention mechanism
Online Access:https://www.mdpi.com/2220-9964/9/10/571

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https://www.mdpi.com/2220-9964/9/10/571

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