Optimizing deep neural networks for high-resolution land cover classification through data augmentation.
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| Title: | Optimizing deep neural networks for high-resolution land cover classification through data augmentation. |
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| Authors: | Sierra S; Complutum Tecnologías de la Información Geográfica, COMPLUTIG, 28801, Alcalá de Henares, Spain.; Photonics Engineering Group, Universidad de Cantabria, 39005, Santander, Spain., Ramo R; Complutum Tecnologías de la Información Geográfica, COMPLUTIG, 28801, Alcalá de Henares, Spain., Padilla M; Complutum Tecnologías de la Información Geográfica, COMPLUTIG, 28801, Alcalá de Henares, Spain., Cobo A; Photonics Engineering Group, Universidad de Cantabria, 39005, Santander, Spain. adolfo.cobo@unican.es.; Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011, Santander, Spain. adolfo.cobo@unican.es.; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, 28029, Madrid, Spain. adolfo.cobo@unican.es. |
| Source: | Environmental monitoring and assessment [Environ Monit Assess] 2025 Mar 18; Vol. 197 (4), pp. 423. Date of Electronic Publication: 2025 Mar 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-2959 |
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| DOI: | 10.1007/s10661-025-13870-5 |
