Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification

Deep learning based data driven methods with multi-sensors spectro-temporal data are widely used for pattern identification and land-cover classification in remote sensing domain. However, adjusting the right tuning for the deep learning models is extremely important as different parameter setting c...

Descripción completa

Detalles Bibliográficos
Autores principales: Durrani, Awab ur Rashid, Minallah, Nasru, Aziz, Najam, Frnda, Jaroslav, Khan, Waleed, Nedoma, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910738/
https://www.ncbi.nlm.nih.gov/pubmed/36758037
http://dx.doi.org/10.1371/journal.pone.0275653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910738/
https://www.ncbi.nlm.nih.gov/pubmed/36758037
http://dx.doi.org/10.1371/journal.pone.0275653

Ejemplares similares