Acta Optica Sinica, Volume. 39, Issue 2, 0210001(2019)

Airplane Detection Based on Feature Fusion and Soft Decision in Remote Sensing Images

Mingming Zhu1、*, Yuelei Xu2, Shiping Ma1, Shuai Li1, and Hongqiang Ma1
Author Affiliations
  • 1 Graduate School, Air Force Engineering University, Xi'an, Shaanxi 710038, China
  • 2 Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
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    Figures & Tables(11)
    Architecture of Faster R-CNN
    Structure of RPN
    Structure of feature fusion
    Non-maximum suppression
    Results of omission detection
    Examples of data. (a) Training data; (b) test data
    Transfer learning
    Network detection results by different methods. (a) Results of 5th layer; (b) results after fusion of 3, 4, 5 layers
    Airplane detection results before and after improvement of NMS algorithm. (a) Traditional NMS; (b) improved NMS
    • Table 1. Results of feature fusion

      View table

      Table 1. Results of feature fusion

      Layer 2Layer 3Layer 4Layer 5DR /%
      86.28
      90.30
      91.90
      91.90
    • Table 2. Comparison among airplane detection results by different methods

      View table

      Table 2. Comparison among airplane detection results by different methods

      MethodDR /%FAR /%Average running time /s
      Ref. [5]79.5422.52171.25
      Ref. [6]84.2517.666.41
      Faster R-CNN86.288.150.15
      Proposed94.255.500.16
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    Mingming Zhu, Yuelei Xu, Shiping Ma, Shuai Li, Hongqiang Ma. Airplane Detection Based on Feature Fusion and Soft Decision in Remote Sensing Images[J]. Acta Optica Sinica, 2019, 39(2): 0210001

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    Paper Information

    Category: Image Processing

    Received: Jul. 4, 2018

    Accepted: Sep. 11, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0210001

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