Intelligent Satellite Image Classification Using Deep Convolutional Neural Networks

Manoj Bhaskar, Chetan Barde, Prakash Ranjan, Nawneet Kumar, Sujit Kumar

2025

Abstract

Image classification plays a key role in remote sensing, image analysis, and pattern recognition. Detecting and classifying objects in satellite images is vital for applications like marine monitoring, land use planning, ecological studies, and military operations. Satellite images, with their rich spatial and temporal information, help address many real-world challenges. However, classifying these images is challenging due to limited data availability, varying quality, and uneven distribution. Deep learning (DL) algorithms have become popular for satellite image classification because of their effectiveness in tasks such as land-use planning, disaster response, and resource management. This study introduces a deep convolutional neural network (DCNN) model combined with batch normalization (BN) for classifying satellite images. The dataset includes images from remote sensing satellites categorized into four classes: cloudy regions, deserts, water bodies, and green areas. CNNs are well-suited for image processing, as they automatically extract key features like edges and textures. Batch normalization improves training by stabilizing inputs within the network layers, making the process faster and more efficient. Our proposed model demonstrates high accuracy in classifying satellite images, achieving an overall performance of 94.50%, outperforming existing methods. This shows its potential for real-world applications.

Paper Citation

in Harvard Style

Bhaskar M., Barde C., Ranjan P., Kumar N. and Kumar S. (2025). Intelligent Satellite Image Classification Using Deep Convolutional Neural Networks. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 354-359. DOI: 10.5220/0013616500004664

in Bibtex Style

@conference{incoft25,
author={Manoj Bhaskar and Chetan Barde and Prakash Ranjan and Nawneet Kumar and Sujit Kumar},
title={Intelligent Satellite Image Classification Using Deep Convolutional Neural Networks},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={354-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013616500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Intelligent Satellite Image Classification Using Deep Convolutional Neural Networks
SN - 978-989-758-763-4
AU - Bhaskar M.
AU - Barde C.
AU - Ranjan P.
AU - Kumar N.
AU - Kumar S.
PY - 2025
SP - 354
EP - 359
DO - 10.5220/0013616500004664
PB - SciTePress