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Proceedings Paper

A new aircraft classification algorithm based on sum pooling feature with remote sensing image
Author(s): Binzhe Li; Jing Hu; Li Fang; SuSu Kang; XiangJun Li
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Paper Abstract

For the problem that VGG network cannot use the special information of feature maps, this paper proposes a new algorithm that constructs the sum pooling feature based on the feature map extracted by the convolutional neural network. And this algorithm retains the construction of original feature maps so that special information on the original feature map could be used more reasonably. And then, this paper uses DOTA datasets to verify the proposed method. The results show that compared with the VGG-16 network, the proposed SPFC algorithm improves the accuracy in rough aircraft classification and the fighter subdivision.

Paper Details

Date Published: 14 February 2020
PDF: 9 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301U (14 February 2020); doi: 10.1117/12.2541853
Show Author Affiliations
Binzhe Li, Huazhong Univ. of Science and Technology (China)
Jing Hu, National Key Lab. of Science and Technology on Multi-spectral Information Processing (China)
Li Fang, Huazhong Univ. of Science and Technology (China)
SuSu Kang, Huazhong Univ. of Science and Technology (China)
XiangJun Li, Yan'an Univ. (China)


Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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