Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410015(2021)

Construction of Semantic Segmentation Dataset of Camouflage Target Image

Xinyu Liang1, Haokun Lin2, Hui Yang1, Kaihong Xiao3, and Jichuan Quan1、*
Author Affiliations
  • 1Institute of Command and Control Engineering, Army Engineering University, Nanjing, Jiangsu 210007, China
  • 2College of Software Engineering, Huazhong University of Science & Technology, Wuhan, Hubei 430070, China;
  • 3Unit 73676 of The Chinese People's Liberation Army, Wuxi, Jiangsu 214400, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
    Equations (0)
    References (14)
    Cited By (1)
    Tools
    Paper Information
    Topics
    Figures & Tables(11)
    Construction framework of the dataset

    Fig. 1. Construction framework of the dataset

    Download full size
    Sample images for 4 types of scenarios. (a) Rainforest; (b) jungle; (c) snowfield; (d) mountain

    Fig. 2. Sample images for 4 types of scenarios. (a) Rainforest; (b) jungle; (c) snowfield; (d) mountain

    Download full size
    Sample images of multi-scale target

    Fig. 3. Sample images of multi-scale target

    Download full size
    Annotation flow chart of the dataset

    Fig. 4. Annotation flow chart of the dataset

    Download full size
    Annotated sample images of the CSS dataset. (a) Original images; (b) annotated images; (c) annotated images with mask

    Fig. 5. Annotated sample images of the CSS dataset. (a) Original images; (b) annotated images; (c) annotated images with mask

    Download full size
    Distribution information of multi-scale targets in different scenarios

    Fig. 6. Distribution information of multi-scale targets in different scenarios

    Download full size
    Distribution of camouflage types in the CSS dataset

    Fig. 7. Distribution of camouflage types in the CSS dataset

    Download full size
    Segmentation effects of different models according to different target types. (a) Large target; (b) medium target; (c) small target

    Fig. 8. Segmentation effects of different models according to different target types. (a) Large target; (b) medium target; (c) small target

    Download full size

    • Table 1. Information of camouflage types in the dataset

      View table

      Table 1. Information of camouflage types in the dataset

      Camouflage modelCamouflage pattern
      German WWII SS camouflagemountain camouflage
      A-TACS AUmountain camouflage
      Chinese type 07 arid camouflagedesert camouflage
      Chinese type 07 universal camouflageuniversal camouflage
      Germansnow camouflagesnowfield camouflage
      Russian VSR-93 camouflagejungle camouflage
      Swedish M90 camouflagejungle camouflage
      Greeklizard camouflagejungle camouflage
      Belgianbrush stroke camouflagerainforest camouflage
      Finnish M05 camouflagerainforest camouflage

    • Table 2. Distribution information of multi-scale targets in the dataset

      View table

      Table 2. Distribution information of multi-scale targets in the dataset

      Target-scaleSmall targetMedium targetLarge target
      Label number538834192045

    • Table 3. mIoU of different models on the CSS dataset unit: %

      View table

      Table 3. mIoU of different models on the CSS dataset unit: %

      MethodSegNetPSPNetDeepLab v3+
      Small target69.7773.2483.91
      Medium target75.1682.8386.94
      Large target85.6588.2793.20
    Tools

    Get Citation

    Copy Citation Text

    Xinyu Liang, Haokun Lin, Hui Yang, Kaihong Xiao, Jichuan Quan. Construction of Semantic Segmentation Dataset of Camouflage Target Image[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410015

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jul. 3, 2020

    Accepted: Aug. 7, 2020

    Published Online: Feb. 24, 2021

    The Author Email: Quan Jichuan (qjch_cn@sina.com)

    DOI:10.3788/LOP202158.0410015

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology