CN110532644B - 一种用于水环境监测基于机理模型的对象辨识方法 - Google Patents
一种用于水环境监测基于机理模型的对象辨识方法 Download PDFInfo
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- CN110532644B CN110532644B CN201910732577.4A CN201910732577A CN110532644B CN 110532644 B CN110532644 B CN 110532644B CN 201910732577 A CN201910732577 A CN 201910732577A CN 110532644 B CN110532644 B CN 110532644B
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- G06F18/00—Pattern recognition
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/40—Analysis of texture
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
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- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910732577.4A CN110532644B (zh) | 2019-08-09 | 2019-08-09 | 一种用于水环境监测基于机理模型的对象辨识方法 |
CN202011556844.6A CN112800833B (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的实现对象整体辨识的方法 |
CN202011556887.4A CN112632782A (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的对象辨识方法 |
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CN201910732577.4A CN110532644B (zh) | 2019-08-09 | 2019-08-09 | 一种用于水环境监测基于机理模型的对象辨识方法 |
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CN202011556844.6A Division CN112800833B (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的实现对象整体辨识的方法 |
CN202011556887.4A Division CN112632782A (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的对象辨识方法 |
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CN110532644A CN110532644A (zh) | 2019-12-03 |
CN110532644B true CN110532644B (zh) | 2021-01-22 |
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CN202011556844.6A Active CN112800833B (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的实现对象整体辨识的方法 |
CN202011556887.4A Withdrawn CN112632782A (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的对象辨识方法 |
CN201910732577.4A Active CN110532644B (zh) | 2019-08-09 | 2019-08-09 | 一种用于水环境监测基于机理模型的对象辨识方法 |
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CN202011556844.6A Active CN112800833B (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的实现对象整体辨识的方法 |
CN202011556887.4A Withdrawn CN112632782A (zh) | 2019-08-09 | 2019-08-09 | 用于水环境监测基于机理模型的对象辨识方法 |
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103337072A (zh) * | 2013-06-19 | 2013-10-02 | 北京航空航天大学 | 一种基于纹理与几何属性联合模型的室内对象解析方法 |
CN110095784A (zh) * | 2019-05-09 | 2019-08-06 | 北京航空航天大学 | 一种复杂环境影响下的海洋-低层大气激光传输建模方法 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101599120B (zh) * | 2009-07-07 | 2012-01-25 | 华中科技大学 | 一种遥感影像建筑物识别方法 |
US9150286B2 (en) * | 2013-03-13 | 2015-10-06 | ServicePro LLC VA | Water platform infrastructure and method of making |
CN108108737A (zh) * | 2016-11-24 | 2018-06-01 | 广州映博智能科技有限公司 | 基于多特征融合的闭环检测系统及方法 |
CN109902532A (zh) * | 2017-12-07 | 2019-06-18 | 广州映博智能科技有限公司 | 一种视觉闭环检测方法 |
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2019
- 2019-08-09 CN CN202011556844.6A patent/CN112800833B/zh active Active
- 2019-08-09 CN CN202011556887.4A patent/CN112632782A/zh not_active Withdrawn
- 2019-08-09 CN CN201910732577.4A patent/CN110532644B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103337072A (zh) * | 2013-06-19 | 2013-10-02 | 北京航空航天大学 | 一种基于纹理与几何属性联合模型的室内对象解析方法 |
CN110095784A (zh) * | 2019-05-09 | 2019-08-06 | 北京航空航天大学 | 一种复杂环境影响下的海洋-低层大气激光传输建模方法 |
Non-Patent Citations (2)
Title |
---|
Learning to Detect Natural Image Boundaries Using Local Brightness,Color,and Texture Cues;David R.Martin等;《IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE》;20040531;第26卷(第5期);第530-549页 * |
水环境监测信息智能处理方法;刘载文;《高科技与产业化》;20131031(第10期);第74-77页 * |
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Publication number | Publication date |
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CN112632782A (zh) | 2021-04-09 |
CN112800833B (zh) | 2022-02-25 |
CN112800833A (zh) | 2021-05-14 |
CN110532644A (zh) | 2019-12-03 |
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