# Aerial-BiSeNet: A real-time semantic segmentation network for high resolution aerial imagery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aerial-bisenet-a-real-time-semantic-segmentation-network-for-high-resolution/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fang Wang,Xiaoyan Luo,Qixiong Wang,Lu Li |
| Citations | 32 |
| DOI | 10.1016/j.cja.2020.10.032 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1000936120305707/pdf |
| OpenAlex ID | https://openalex.org/W3120898603 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Lu Li](https://scholariq.org/researchers/lu-li-2/)

## Paper primary topic

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

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Image Fusion Techniques](https://scholariq.org/topics/advanced-image-fusion-techniques/)

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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.