Intelligent sine cosine optimization with deep transfer learning based crops type classification using hyperspectral images

Hyperspectral Remote Sensing (HRS) is an emergent, multidisciplinary paradigm with several applications, which are developed on the basis of material spectroscopy, radiative transfer, and imaging spectroscopy. HRS plays a vital role in agriculture for crops type classification and soil prediction. T...

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Autores:

Escorcia-Gutierrez, Jose
Gamarra, Margarita
Torres Torres, Melitsa
Madera, Natasha
Calabria- Sarmiento, Juan Carlos
Mansour, Romany F.

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9383

Acceso en línea:

https://hdl.handle.net/11323/9383
https://doi.org/10.1080/07038992.2022.2081538
https://repositorio.cuc.edu.co/

Palabra clave:

Hyperspectral Remote Sensing (HRS)
Material spectroscopy
Agriculture

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embargoedAccess

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