# Land Cover Classification in High-Resolution Satellite Images Using Vision Transformer and ConvNeXt Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/land-cover-classification-in-high-resolution-satellite-images-using-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Manjunath Gadiparthi,Ramy Riad Al–Fatlawy,Megha Kulkarni,V. Malathy,R Anbunathan |
| Citations | 6 |
| DOI | 10.1109/icdsns62112.2024.10690976 |
| Fields | Earth and Planetary Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403022746 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Ramy Riad Al–Fatlawy](https://scholariq.org/researchers/ramy-riad-al-fatlawy/)

## Paper primary topic

- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)

## Paper topics

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

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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.