SOTAVerified

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
Satellite image classification with neural quantum kernels0
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification0
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips0
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