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Satellite Image Classification

Satellite image classification is the most significant technique used in remote sensing for the computerized study and pattern recognition of satellite information, which is based on diversity structures of the image that involve rigorous validation of the training samples depending on the used classification algorithm.

Papers

Showing 3133 of 33 papers

TitleStatusHype
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
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