# High-resolution remote sensing images semantic segmentation using improved UNet and SegNet

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/high-resolution-remote-sensing-images-semantic-segmentation-using-improved-unet/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xin Wang,Shihan Jing,Huifeng Dai,Aiye Shi |
| Citations | 39 |
| DOI | 10.1016/j.compeleceng.2023.108734 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4366780408 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Xin Wang](https://scholariq.org/researchers/xin-wang/)

## Paper primary topic

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Paper topics

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