Laser & Optoelectronics Progress, Volume. 56, Issue 6, 061007(2019)

Gradient Clustering Algorithm Based on Deep Learning Aerial Image Detection

Bo Xie*, Bin Zhu, Hongwei Zhang, Qi Ma, and Yang Zhang
Author Affiliations
  • State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei, Anhui 230037, China
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    Figures & Tables(12)
    Network structure of SSD object detection algorithm
    Structural diagram of algorithm
    Schematic of map division in STING algorithm. (a) Rendering of grid raster on map; (b) rendering of clustering on map
    Test results
    Relationship between frame rate and image size of SSD based on sliding window method
    Relationship between running time and clustering data in gradient clustering algorithm
    Frame rate versus image size and data efficiency in gradient clustering algorithm
    Frame rate versus image pixels and dispersion in SSD algorithm based on gradient clustering
    Recall rates for different object categories
    Relationship between object recall rate and normalized dispersion
    • Table 1. Related parameter settings in proposed algorithm

      View table

      Table 1. Related parameter settings in proposed algorithm

      AlgorithmKernel sizeSigmaGrid sizeDensity
      Gaussian filter7×71.5--
      STING--300600
    • Table 2. Detection results based on DOTA dataset

      View table

      Table 2. Detection results based on DOTA dataset

      MethodV^FPS /s-1mAP /%AP /%
      PlaneShipStoragetankGroundtrack fieldHarborBridge
      Faster R-CNN0.1951.3192.5548.8368.010.559.9138.10
      YOLO0.5536.5963.6175.5680.3500.050
      SW-SSD0.3448.8082.4684.3876.650.538.5410.29
      GC-SSD0.6546.9670.1479.3174.720.536.9920.08
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    Bo Xie, Bin Zhu, Hongwei Zhang, Qi Ma, Yang Zhang. Gradient Clustering Algorithm Based on Deep Learning Aerial Image Detection[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061007

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    Paper Information

    Category: Image Processing

    Received: Aug. 17, 2018

    Accepted: Oct. 12, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Xie Bo (bigboo@foxmail.com)

    DOI:10.3788/LOP56.061007

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