Deep Transfer Learning based Fusion Model for Environmental Remote Sensing Image Classification Model

Remote-sensing images comprise massive amount of spatial and semantic data that can be employed for several applications. Presently, deep learning (DL) models for RS image processing become a familiar research area. Due to the advancements of recent satellite imaging sensors , the issue of huge amou...

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Autors principals:	Anwer Mustafa Hilal, Fahd N. Al-Wesabi, Khalid J Alzahrani​, Mesfer Al Duhayyim, Manar Ahmed Hamza, Mohammed Rizwanullah, Vicente García Díaz
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2022-01-01
Col·lecció:	European Journal of Remote Sensing
Matèries:	deep transfer learning fusion model remote sensing image classification environmental monitoring parameter tuning
Accés en línia:	http://dx.doi.org/10.1080/22797254.2021.2017799
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