Intelligent Sine Cosine Optimization with Deep Transfer Learning Based Crops Type Classification Using Hyperspectral Images

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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Bibliographic Details
Main Authors: José Escorcia-Gutierrez, Margarita Gamarra, Melitsa Torres-Torres, Natasha Madera, Juan C. Calabria-Sarmiento, Romany F. Mansour
Format: Article
Language:English
Published: Taylor & Francis Group 2022-09-01
Series:Canadian Journal of Remote Sensing
Online Access:http://dx.doi.org/10.1080/07038992.2022.2081538

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