Deep Feature Fusion for High-Resolution Aerial Scene Classification

Heng Wang; Yunlong Yu

doi:10.1007/s11063-019-10119-4

ScienceGate Book Chapters

JOURNAL ARTICLE

Deep Feature Fusion for High-Resolution Aerial Scene Classification

Heng Wang Yunlong Yu

Year: 2019 Journal: Neural Processing Letters Vol: 51 (1)Pages: 853-865 Publisher: Springer Science+Business Media

DOI: 10.1007/s11063-019-10119-4

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Fuse (electrical) Artificial intelligence Feature (linguistics) Aerial image RGB color model Remote sensing High resolution Pattern recognition (psychology) Deep learning Aerial imagery Feature extraction Computer vision Image (mathematics) Geography

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.70

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep Feature Fusion for High-Resolution Aerial Scene Classification

Metrics

Citation History

Topics

Related Documents

Multi-feature Fusion for High Resolution Aerial Scene Image Classification

A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification

Hierarchical Deep Feature Representation for High-Resolution Scene Classification

A Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification

Deep feature representations for high-resolution remote sensing scene classification