EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

In this paper, we present a patch-based land use and land cover classification approach using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessible, and are provided in the earth observation program Copernicus. We present a novel dataset, based on these images...

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Vydané v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 12; číslo 7; s. 2217 - 2226
Hlavní autori:	Helber, Patrick, Bischke, Benjamin, Dengel, Andreas, Borth, Damian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.07.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Band spectra Benchmark testing Benchmarks Classification Dataset Datasets deep convolutional neural network Deep learning Earth earth observation Feature extraction Image classification Land cover land cover classification Land use land use classification Machine learning Neural networks Remote sensing satellite image classification Satellite imagery satellite images Satellites Spaceborne remote sensing Spatial resolution Spectral bands
ISSN:	1939-1404, 2151-1535
On-line prístup:	Získať plný text
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