# Unsupervised feature extraction and clustering of aerial images for understanding hazardous road segments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unsupervised-feature-extraction-and-clustering-of-aerial-images-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | John Francis,Jonathan Bright,Saba Esnaashari,Youmna Hashem,Deborah Morgan,Vincent J. Straub |
| Citations | 0 |
| DOI | 10.21203/rs.3.rs-2678278/v1 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.researchsquare.com/article/rs-2678278/latest.pdf |
| OpenAlex ID | https://openalex.org/W4327546407 |
| Type | preprint |
| Year | 2023 |

## Paper authors

- [Saba Esnaashari](https://scholariq.org/researchers/saba-esnaashari/)

## Paper journal

- [Research Square](https://scholariq.org/journals/research-square/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Automated Road and Building Extraction](https://scholariq.org/topics/automated-road-and-building-extraction/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)

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