A Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification
High spatial resolution (HSR) imagery scene classification has recently attracted increased attention. The bag-of-visual-words (BoVW) model is an effective method for scene classification. However, it can only extract handcrafted features, and it disregards the spatial layout information, whereas de...
Main Authors: | Qiqi Zhu, Yanfei Zhong, Yanfei Liu, Liangpei Zhang, Deren Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/4/568 |
Similar Items
-
Classificação de imagens de fluorescência do citoesqueleto através de técnicas em processamento de imagens
by: Quispe, Filomen Incahuanaco
Published: (2017) -
Classificação de imagens de fluorescência do citoesqueleto através de técnicas em processamento de imagens
by: Filomen Incahuanaco Quispe
Published: (2017) -
Loop Closure Detection Via Maximization of Mutual Information
by: Ge Zhang, et al.
Published: (2019-01-01) -
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray Images
by: Vo Truong Nhu Ngoc, et al.
Published: (2020-04-01) -
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
by: Fan Hu, et al.
Published: (2015-11-01)