Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery

Fine-grained object recognition concerns the identification of the type of an object among a large number of closely related subcategories. Multisource data analysis that aims to leverage the complementary spectral, spatial, and structural information embedded in different sources is a promising dir...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2019-07, Vol.57 (7), p.4929-4937
Hauptverfasser:	Sumbul, Gencer, Cinbis, Ramazan Gokberk, Aksoy, Selim
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Data analysis Deep learning Elevation Feature extraction fine-grained classification image alignment Imagery Laser radar Lidar multisource classification Neural networks Object recognition Pattern recognition Remote sensing Representations Sensors Spatial resolution Training Variance analysis Vegetation
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