# A DenseNet121-Based Approach for Accurate Multi-Class Satellite Image Classification in Remote Sensing Applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-densenet121-based-approach-for-accurate-multi-class-satellite-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kanegonda Ravi Chythanya,Gaurav Tuteja,Saurabh Fulara,Chandra Kishore |
| Citations | 0 |
| DOI | 10.1109/aisummit66170.2025.11410960 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7133497390 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Saurabh Fulara](https://scholariq.org/researchers/saurabh-fulara/)

## 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/)
- [Automated Road and Building Extraction](https://scholariq.org/topics/automated-road-and-building-extraction/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.