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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/building-extraction-from-high-resolution-aerial-imagery-using-a-generative/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xuran Pan,Fan Yang,Lianru Gao,Zhengchao Chen,Bing Zhang,Hairui Fan,Jinchang Ren |
| Citations | 136 |
| DOI | 10.3390/rs11080917 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2072-4292/11/8/917/pdf?version=1555340583 |
| OpenAlex ID | https://openalex.org/W2937933649 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Fan Yang](https://scholariq.org/researchers/fan-yang/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Automated Road and Building Extraction](https://scholariq.org/topics/automated-road-and-building-extraction/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.