CN107729830A - 基于背景特征的迷彩伪装效果检测计算方法 - Google Patents
基于背景特征的迷彩伪装效果检测计算方法 Download PDFInfo
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108537788A (zh) * | 2018-04-06 | 2018-09-14 | 中国人民解放军92942部队 | 迷彩伪装效果评测方法及装置、计算机设备及存储介质 |
CN108647365A (zh) * | 2018-05-29 | 2018-10-12 | 青岛九维华盾科技研究院有限公司 | 一种基于人工判读的目标伪装效果评估方法及*** |
CN108765267A (zh) * | 2018-05-25 | 2018-11-06 | 青岛九维华盾科技研究院有限公司 | 一种基于误差扩散抖动算法的数码迷彩生成方法及*** |
CN111797840A (zh) * | 2020-01-10 | 2020-10-20 | 中国人民解放军国防科技大学 | 自适应迷彩伪装效果在线评估及*** |
CN112419265A (zh) * | 2020-11-23 | 2021-02-26 | 哈尔滨工程大学 | 一种基于人眼视觉机制的伪装评价方法 |
CN113870095A (zh) * | 2021-06-25 | 2021-12-31 | 中国人民解放军陆军工程大学 | 基于迷彩贴片伪装欺骗目标侦察***方法 |
CN114140489A (zh) * | 2021-11-09 | 2022-03-04 | 南京戎致星网信息科技有限公司 | 用于重要目标迷彩伪装效果的多谱段综合分析方法及*** |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103106635A (zh) * | 2012-12-26 | 2013-05-15 | 浙江大学 | 数码迷彩信息隐藏方法及装置 |
CN104268574A (zh) * | 2014-09-25 | 2015-01-07 | 西安电子科技大学 | 一种基于遗传核模糊聚类的sar图像变化检测方法 |
CN104318570A (zh) * | 2014-10-29 | 2015-01-28 | 沈阳建筑大学 | 一种基于背景的自适应迷彩伪装设计方法 |
CN104966310A (zh) * | 2015-06-25 | 2015-10-07 | 中国人民解放军总后勤部军需装备研究所 | 一种迷彩伪装效果评价方法 |
CN105488270A (zh) * | 2015-11-27 | 2016-04-13 | 国家电网公司 | 一种变压器结构性故障诊断多属性综合方法 |
-
2017
- 2017-10-09 CN CN201710929739.4A patent/CN107729830B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103106635A (zh) * | 2012-12-26 | 2013-05-15 | 浙江大学 | 数码迷彩信息隐藏方法及装置 |
CN104268574A (zh) * | 2014-09-25 | 2015-01-07 | 西安电子科技大学 | 一种基于遗传核模糊聚类的sar图像变化检测方法 |
CN104318570A (zh) * | 2014-10-29 | 2015-01-28 | 沈阳建筑大学 | 一种基于背景的自适应迷彩伪装设计方法 |
CN104966310A (zh) * | 2015-06-25 | 2015-10-07 | 中国人民解放军总后勤部军需装备研究所 | 一种迷彩伪装效果评价方法 |
CN105488270A (zh) * | 2015-11-27 | 2016-04-13 | 国家电网公司 | 一种变压器结构性故障诊断多属性综合方法 |
Non-Patent Citations (3)
Title |
---|
喻钧等: "《数字迷彩的伪装效果评价》", 《西安工业大学学报》 * |
林伟等: "《基于红外目标纹理特征的发现概率评价模型》", 《红外与激光工程》 * |
王占锋等: "《光学伪装效果评价指标权重分配算法研究》", 《光电技术应用》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108537788A (zh) * | 2018-04-06 | 2018-09-14 | 中国人民解放军92942部队 | 迷彩伪装效果评测方法及装置、计算机设备及存储介质 |
CN108765267A (zh) * | 2018-05-25 | 2018-11-06 | 青岛九维华盾科技研究院有限公司 | 一种基于误差扩散抖动算法的数码迷彩生成方法及*** |
CN108647365A (zh) * | 2018-05-29 | 2018-10-12 | 青岛九维华盾科技研究院有限公司 | 一种基于人工判读的目标伪装效果评估方法及*** |
CN111797840A (zh) * | 2020-01-10 | 2020-10-20 | 中国人民解放军国防科技大学 | 自适应迷彩伪装效果在线评估及*** |
CN111797840B (zh) * | 2020-01-10 | 2022-07-12 | 中国人民解放军国防科技大学 | 自适应迷彩伪装效果在线评估方法及*** |
CN112419265A (zh) * | 2020-11-23 | 2021-02-26 | 哈尔滨工程大学 | 一种基于人眼视觉机制的伪装评价方法 |
CN112419265B (zh) * | 2020-11-23 | 2023-08-01 | 哈尔滨工程大学 | 一种基于人眼视觉机制的伪装评价方法 |
CN113870095A (zh) * | 2021-06-25 | 2021-12-31 | 中国人民解放军陆军工程大学 | 基于迷彩贴片伪装欺骗目标侦察***方法 |
CN113870095B (zh) * | 2021-06-25 | 2022-12-20 | 中国人民解放军陆军工程大学 | 基于迷彩贴片伪装欺骗目标侦察***方法 |
CN114140489A (zh) * | 2021-11-09 | 2022-03-04 | 南京戎致星网信息科技有限公司 | 用于重要目标迷彩伪装效果的多谱段综合分析方法及*** |
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