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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Satellite Image Classification Using Convolutional Neural Network |
| Authors Name: | Guntuku Vamshi , S. Hemanth Kumar , P. Harsha Vardhan Reddy , Gurram Chandra Sekhar , J. Lethisia Nithiya |
| Unique Id: | IJSDR2404126 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | For agronomists and agricultural organizations in charge of land management, it is essential to comprehend how the current land cover is used and to track changes over time. Researchers now have more opportunities to use publicly available multi-spectral optical images with decametric spatial resolution and more frequent revisits for remote sensing applications like land cover and crop classification (LC&CC), agricultural monitoring and management, and environment monitoring. This is due to the increasing spatial and temporal resolution of globally available satellite images, such as those provided by Sentinel-2. Cropland mapping systems now in use can be divided into two categories: object-based and per-pixel. When more agricultural crop classes are taken into account on a large basis, it is still difficult. This research develops an innovative and ideal Pixel-based LC&CC using a deep learning model. This work develops and applies a novel and optimal deep learning model for pixel-based LC&CC utilizing multi- |
| Keywords: | Land Cover, Convolutional Neural Network, Crop classification, deep learning, Sentinel-2, Machine learning. |
| Cite Article: | "Satellite Image Classification Using Convolutional Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.883 - 889, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404126.pdf |
| Downloads: | 000338173 |
| Publication Details: | Published Paper ID: IJSDR2404126 Registration ID:210908 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 883 - 889 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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