High-performance scene classification in remote sensing imagery using a custom deep CNN architecture.
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| Title: | High-performance scene classification in remote sensing imagery using a custom deep CNN architecture. |
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| Authors: | Abdelmonem AM; Department of Electronics and Communications Engineering, Zagazig University, Zagazig, 44519, Egypt., Ata MM; School of Computational Sciences and Artificial Intelligence (CSAI), Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt. momaher@zewailcity.edu.eg., Atey AA; EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia., Shaalan AA; Department of Electronics and Communications Engineering, Zagazig University, Zagazig, 44519, Egypt., El-Sayed RA; Department of Electronics and Communications Engineering, Zagazig University, Zagazig, 44519, Egypt. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 09; Vol. 16 (1), pp. 5946. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-34176-z |
