Auto‐encoder‐based shared mid‐level visual dictionary learning for scene classification using very high resolution remote sensing images

Auto‐encoder‐based shared mid‐level visual dictionary learning for scene classification using very high resolution remote sensing images

Effective representation and classification of scenes using very high resolution (VHR) remote sensing images cover a wide range of applications. Although robust low‐level image features have been proven to be effective for scene classification, they are not semantically meaningful and thus have diff...

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Bibliographic Details
Main Authors: Gong Cheng, Peicheng Zhou, Junwei Han, Lei Guo, Jungong Han
Format: Article
Language:English
Published: Wiley 2015-10-01
Series:IET Computer Vision
Subjects:
autoencoder-based shared midlevel visual dictionary learning
scene classification
very high resolution remote sensing images
VHR remote sensing images
auto-encoder-based method
mid-level visual dictionary
Online Access:https://doi.org/10.1049/iet-cvi.2014.0270

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https://doi.org/10.1049/iet-cvi.2014.0270

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