Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation

Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation

Semantic segmentation of remote sensing imagery is a fundamental task in intelligent interpretation. Since deep convolutional neural networks (DCNNs) performed considerable insight in learning implicit representations from data, numerous works in recent years have transferred the DCNN-based model to...

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Bibliographic Details
Main Authors: Xin Li, Feng Xu, Runliang Xia, Xin Lyu, Hongmin Gao, Yao Tong
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
semantic segmentation
remote sensing imagery
cross-level contextual information
representation enhancement
Online Access:https://www.mdpi.com/2072-4292/13/15/2986

Internet

https://www.mdpi.com/2072-4292/13/15/2986

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