Satellite Image Classification
11 papers with code • 4 benchmarks • 7 datasets
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.
Benchmarks
These leaderboards are used to track progress in Satellite Image Classification
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Datasets
WorldStrat
Cross-View Time Dataset
NASA Worldview
UV6K
Latest papers
DeepSat - A Learning framework for Satellite Imagery
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning.
