Camouflage Target Segmentation Algorithm Using Multi-Scale Feature Extraction and Multi-Level Attention Mechanism-Reference-Cited by-同舟云学术

Camouflage Target Segmentation Algorithm Using Multi-Scale Feature Extraction and Multi-Level Attention Mechanism

Published:2022-05-01 Issue:05 Volume:34 Page:683-692
ISSN:1003-9775
Container-title:Journal of Computer-Aided Design & Computer Graphics
language:en
Short-container-title:J Comput-Aided Design Comput Graphics

Author:

Liang Xinyu,Quan Jichuan,Yang Hui,Xiao Kaihong,Wang Zhongwei

Publisher

China Science Publishing & Media Ltd.

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://engine.scichina.com/doi/pdf/940F525A35BB4578B19E9057EA208B72

Reference28 articles.

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2. (张立新. 基于自然背景的数码迷彩设计及伪装效果评价[J].西安工业大学学报, 2019, 39(3): 358).

3. Wang Yongzhi. Study on deformation-camouflage target discovery based on image processing[D]. Chongqing: Chongqing University, 2009(in Chinese) (王勇智. 基于图像处理的变形迷彩目标发现研究[D]. 重庆: 重庆大学, 2009).

4. Wang Haoquan. Improvement of the recognition probability about camouflage target based on BP neural network. Spectroscopy and Spectral Analysis, 2010, 30: 3316-3319.

5. (王浩全. 基于BP神经网络提高伪装目标识别概率的研究[J]. 光谱学与光谱分析, 2010, 30(12): 3316-3319).

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