Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms

Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms

Segmentation of high-resolution remote sensing images is an important challenge with wide practical applications. The increasing spatial resolution provides fine details for image segmentation but also incurs segmentation ambiguities. In this paper, we propose a generative adversarial network with s...

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Bibliographic Details
Main Authors: Xuran Pan, Fan Yang, Lianru Gao, Zhengchao Chen, Bing Zhang, Hairui Fan, Jinchang Ren
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
high-resolution aerial images
deep learning
generative adversarial network
semantic segmentation
Inria aerial image labeling dataset
Massachusetts buildings dataset
Online Access:https://www.mdpi.com/2072-4292/11/8/917

Internet

https://www.mdpi.com/2072-4292/11/8/917

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