Enhancing remote sensing image retrieval using a triplet deep metric learning network-Reference-Cited by-同舟云学术

Enhancing remote sensing image retrieval using a triplet deep metric learning network

Published:2019-08-09 Issue:2 Volume:41 Page:740-751
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Cao Rui¹²³^ORCID,Zhang Qian¹,Zhu Jiasong²,Li Qing²³⁴,Li Qingquan²,Liu Bozhi³,Qiu Guoping³⁴

Affiliation:

1. International Doctoral Innovation Centre & School of Computer Science, University of Nottingham Ningbo China, Ningbo, China

2. Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen, China

3. College of Information Engineering & Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

4. School of Computer Science, University of Nottingham, Nottingham, UK

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2019.1647368

Reference21 articles.

1. Remote Sensing Image Scene Classification: Benchmark and State of the Art

2. Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection

3. Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification

4. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

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