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Research on extraction and reproduction of deformation camouflage spot based on generative adversarial network model

  • Published:2020-06 Issue:3 Volume:16 Page:555-563
  • ISSN:2214-9147
  • Container-title:Defence Technology
  • language:en
  • Short-container-title:Defence Technology

Author:

Yang Xin,Xu Wei-dong,Jia Qi,Li Ling,Zhu Wan-nian,Tian Ji-yao,Xu Hao

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Metals and Alloys,Mechanical Engineering,Ceramics and Composites,Computational Mechanics

Reference30 articles.

1. Design and evaluation of a camouflage pattern for the Slovenian urban environment;Friškovec;J Imaging Sci Technol,2010

2. Research on the shape and size of cell in pattern painting camouflage using electrochromic materials;Qi;Electro-Optic Technol Appl,2008

3. The segmented vertex chain code;Chang;J Chin Inst Eng,2011

4. Vehicle logo classification combined with improved features of moments and random forest;Fang-ju;Comput Eng Des,2018

5. Evaluation of support vector machine and artificial neural networks in weed detection using shape features;Adel;Comput Electron Agric,2018

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1. Efficient digital camouflage pattern generation algorithm based on improved GA-K-means clustering algorithm;Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024);2024-07-11

2. A camouflage generation algorithm based on modified K-means clustering;Second International Conference on Electronic Information Technology (EIT 2023);2023-08-15

3. Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model;Fibres & Textiles in Eastern Europe;2023-07-01

4. CNN-based battlefield classification and camouflage texture generation for real environment;International Journal of Computational Science and Engineering;2023

5. Terrain Specific Real Time Pixelated Camouflage Texture Generation & its Impact Assessment;Defence Science Journal;2022-12-06
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