CN108875626A - 一种输电线路的静态火灾检测方法 - Google Patents
一种输电线路的静态火灾检测方法 Download PDFInfo
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- CN108875626A CN108875626A CN201810608933.7A CN201810608933A CN108875626A CN 108875626 A CN108875626 A CN 108875626A CN 201810608933 A CN201810608933 A CN 201810608933A CN 108875626 A CN108875626 A CN 108875626A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/2163—Partitioning the feature space
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110033040A (zh) * | 2019-04-12 | 2019-07-19 | 华南师范大学 | 一种火焰识别方法、系统、介质和设备 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103886344A (zh) * | 2014-04-14 | 2014-06-25 | 西安科技大学 | 一种图像型火灾火焰识别方法 |
CN106056139A (zh) * | 2016-05-26 | 2016-10-26 | 东华大学 | 一种基于图像分割的森林火灾烟雾检测方法 |
US20160321818A1 (en) * | 2015-04-30 | 2016-11-03 | Harris Corporation | Geospatial imaging system providing segmentation and classification features and related methods |
CN106683160A (zh) * | 2015-11-06 | 2017-05-17 | 中国科学院深圳先进技术研究院 | 一种基于二维直方图的传递函数设计方法及装置 |
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2018
- 2018-06-13 CN CN201810608933.7A patent/CN108875626A/zh active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103886344A (zh) * | 2014-04-14 | 2014-06-25 | 西安科技大学 | 一种图像型火灾火焰识别方法 |
US20160321818A1 (en) * | 2015-04-30 | 2016-11-03 | Harris Corporation | Geospatial imaging system providing segmentation and classification features and related methods |
CN106683160A (zh) * | 2015-11-06 | 2017-05-17 | 中国科学院深圳先进技术研究院 | 一种基于二维直方图的传递函数设计方法及装置 |
CN106056139A (zh) * | 2016-05-26 | 2016-10-26 | 东华大学 | 一种基于图像分割的森林火灾烟雾检测方法 |
Non-Patent Citations (2)
Title |
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王灿田: "基于超图模型的图像分析方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
程嘉晖: "基于深度卷积神经网络的飞行器图像识别算法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110033040A (zh) * | 2019-04-12 | 2019-07-19 | 华南师范大学 | 一种火焰识别方法、系统、介质和设备 |
CN110033040B (zh) * | 2019-04-12 | 2021-05-04 | 华南师范大学 | 一种火焰识别方法、系统、介质和设备 |
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Address after: 210024 civil defense building, No. 189, Guangzhou Road, Gulou District, Nanjing, Jiangsu Applicant after: Jiangsu Electric Power Information Technology Co., Ltd. Applicant after: STATE GRID JIANGSU ELECTRIC POWER Co. Address before: 210024 civil defense building, No. 189, Guangzhou Road, Gulou District, Nanjing, Jiangsu Applicant before: Jiangsu Electric Power Information Technology Co., Ltd. Applicant before: STATE GRID JIANGSU ELECTRIC POWER COMPANY |
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