Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1597-1600

Transductive zero-shot classification algorithm for remote sensing image scenes

Wu Chen1,2
Yuan Yuwei3
Wang Hongwei2
Liu Yu2
Liu Sitong4
Quan Jicheng2
1. University of Naval Aviation, Yantai Shandong 264001, China
2. Aviation University of Air Force, Changchun 130022, China
3. Unit 91977 of PLA, Beijing 100036, China
4. Xi'an Flight Academy, Xi'an 710000, China
DOI: 10.19734/j.issn.1001-3695.2018.12.0915

Abstract

Aiming at solving the structure inconsistency between visual feature space and semantic feature space and domain shift of remote sensing image scenes, this paper proposed a transductive zero-shot classification algorithm for remote sensing image scenes based on Sammon embedding and spectral clustering. Firstly, it modified semantic feature space class prototypes by Sammon embedding to align with the visual feature space class prototypes. Secondly, the algorithm obtained the unseen prototypes in visual feature space via structure transfer. Finally, it modified the unseen class prototypes in visual feature space to adapt to the distribution characteristics of unseen class samples, and to improve the zero-shot classification accuracy of remote sensing image scenes. This algorithm obtains the best overall accuracies of 52.89% and 55.93% on two remote sensing image scene datasets(UCM and AID), respectively, which outperforms the comparative methods. The experimental results show that this algorithm can significantly reduce the class structure inconsistency problem and the domain shift problem. It also makes the effective transfer for semantic space class structure knowledge into visual space, and largely improves the accuracies of zero-shot classification for remote sensing image scenes.

Foundation Support

国家青年自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0915
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1597-1600
Serial Number: 1001-3695(2020)05-066-1597-04

Publish History

[2020-05-05] Printed Article

Cite This Article

吴晨, 袁昱纬, 王宏伟, 等. 直推式遥感图像场景零样本分类算法 [J]. 计算机应用研究, 2020, 37 (5): 1597-1600. (Wu Chen, Yuan Yuwei, Wang Hongwei, et al. Transductive zero-shot classification algorithm for remote sensing image scenes [J]. Application Research of Computers, 2020, 37 (5): 1597-1600. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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