Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology

The contemporary challenge in remote sensing lies in the precise retrieval of increasingly abundant and high-resolution remotely sensed images (RS image) stored in expansive data warehouses. The heightened spatial and spectral resolutions, coupled with accelerated image acquisition rates, necessitat...

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Detalhes bibliográficos

Principais autores:	Sujata Alegavi, Raghvendra Sedamkar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Journal of Imaging
Assuntos:	hyperspectral images (HSIs) synthetic aperture radar images (SAR) Convolutional Neural Networks (CNNs) pretrained networks classification retrieval
Acesso em linha:	https://www.mdpi.com/2313-433X/11/6/179
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