# SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/snunet-cd-a-densely-connected-siamese-network-for-change-detection-of-vhr-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheng Fang,Kaiyu Li,J. Shao,Zhe Li |
| Citations | 1,082 |
| DOI | 10.1109/lgrs.2021.3056416 |
| Fields | Computer Science,Earth and Planetary Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3130754787 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Kaiyu Li](https://scholariq.org/researchers/kaiyu-li/)

## Paper primary topic

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

## Paper topics

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)

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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.