Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images

Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images

The semantic segmentation of remote sensing images (RSIs) is important in a variety of applications. Conventional encoder-decoder-based convolutional neural networks (CNNs) use cascade pooling operations to aggregate the semantic information, which results in a loss of localization accuracy and in t...

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Bibliographic Details
Main Authors: Jing Zhang, Shaofu Lin, Lei Ding, Lorenzo Bruzzone
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
semantic segmentation
convolutional neural network
deep learning
image analysis
remote sensing
Online Access:https://www.mdpi.com/2072-4292/12/4/701

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