Scene classification of remote sensing images based on hierarchical sparse coding-Reference-Cited by-同舟云学术

Scene classification of remote sensing images based on hierarchical sparse coding

Published:2018-09-25 Issue:16 Volume:2018 Page:1650-1657
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Jiaqing Xu¹,Qi Lv²,Hongjun Liu³,Jie He¹

Affiliation:

1. School of ComputerNational University of Defense TechnologyChangshaPeople's Republic of China

2. Unit 31104 of PLANanjingPeople's Republic of China

3. College of Biomedical Engineering & Imaging MedicineArmy Medical UniversityChongqingPeople's Republic of China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8268

Reference36 articles.

1. YangY. NewsamS.: ‘Spatial pyramid co‐occurrence for image classification’.2011 Int. Conf. on Computer Vision Barcelona Spain November 2011 pp.1465–1472

2. Pyramid of spatial relatons for scene‐level land use classification;Chen S.;IEEE Trans. Geosci. Remote Sens.,2015

3. Semantic annotation of satellite images using latent Dirichlet allocation;Lienou M.;IEEE Geosci. Remote Sens. Lett.,2010

4. Automatic landslide detection from remote‐sensing imagery using a scene classification method based on BOVW and PLSA;Cheng G.;Int. J. Remote Sens.,2013

5. Saliency‐guided unsupervised feature learning for scene classification;Zhang F.;IEEE Trans. Geosci. Remote Sens.,2015

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