# A Comparative Study of the CNN Based Models Used for Remote Sensing Image Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparative-study-of-the-cnn-based-models-used-for-remote-sensing-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N Supritha,Narasimha Murthy M S |
| Citations | 3 |
| DOI | 10.37391/ijeer.110301 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ijeer.forexjournal.co.in/papers-pdf/ijeer-110301.pdf |
| OpenAlex ID | https://openalex.org/W4386402951 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Narasimha Murthy M S](https://scholariq.org/researchers/narasimha-murthy-m-s/)

## Paper journal

- [International Journal of Electrical and Electronics Research](https://scholariq.org/journals/international-journal-of-electrical-and-electronics-research/)

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

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