CN103810226B - 确定高光谱数据处理中所用的跟踪对象的方法 - Google Patents

确定高光谱数据处理中所用的跟踪对象的方法 Download PDF

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CN103810226B
CN103810226B CN201310359095.1A CN201310359095A CN103810226B CN 103810226 B CN103810226 B CN 103810226B CN 201310359095 A CN201310359095 A CN 201310359095A CN 103810226 B CN103810226 B CN 103810226B
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hyperion
tracking object
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deviation
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CN103810226A (zh
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E.D.比勒
B.T.奥基平蒂
K.R.库琴斯基
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    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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CN201310359095.1A 2012-08-17 2013-08-16 确定高光谱数据处理中所用的跟踪对象的方法 Expired - Fee Related CN103810226B (zh)

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US13/588568 2012-08-17
US13/588,568 US9122929B2 (en) 2012-08-17 2012-08-17 Method of identifying a tracked object for use in processing hyperspectral data

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CN103810226A CN103810226A (zh) 2014-05-21
CN103810226B true CN103810226B (zh) 2018-11-09

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US (1) US9122929B2 (enExample)
EP (1) EP2698740A3 (enExample)
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BR (1) BR102013020974A2 (enExample)
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240303964A1 (en) * 2023-03-07 2024-09-12 The Boeing Company Spectral Image Relationship Extraction

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9430846B2 (en) * 2013-04-19 2016-08-30 Ge Aviation Systems Llc Method of tracking objects using hyperspectral imagery
US9256786B2 (en) 2013-10-15 2016-02-09 Ge Aviation Systems Llc Method of identification from a spatial and spectral object model
US11615460B1 (en) 2013-11-26 2023-03-28 Amazon Technologies, Inc. User path development
WO2015086295A1 (en) 2013-12-10 2015-06-18 Bae Systems Plc Data processing method
US20160300098A1 (en) * 2013-12-10 2016-10-13 Bae Systems Plc Data processing method and system
US10890648B2 (en) * 2014-10-24 2021-01-12 Texas Instruments Incorporated Method and apparatus for generating alignment matrix for camera-radar system
US11205270B1 (en) * 2015-03-25 2021-12-21 Amazon Technologies, Inc. Collecting user pattern descriptors for use in tracking a movement of a user within a materials handling facility
US10810539B1 (en) 2015-03-25 2020-10-20 Amazon Technologies, Inc. Re-establishing tracking of a user within a materials handling facility
CN105043544B (zh) * 2015-05-05 2017-06-20 中山大学 一种图像光谱跟踪方法及系统
EP3317624B1 (en) 2015-07-05 2019-08-07 The Whollysee Ltd. Optical identification and characterization system and tags
CN106776641B (zh) * 2015-11-24 2020-09-08 华为技术有限公司 一种数据处理方法及装置
CN108292141B (zh) * 2016-03-01 2022-07-01 深圳市大疆创新科技有限公司 用于目标跟踪的方法和系统
SE542124C2 (en) 2016-06-17 2020-02-25 Irisity Ab Publ A monitoring system for security technology
WO2018047171A1 (en) * 2016-09-06 2018-03-15 B. G. Negev Technologies And Applications Ltd., At Ben-Gurion University Recovery of hyperspectral data from image
CN108510519B (zh) * 2017-02-28 2021-12-14 哈尔滨工业大学 一种跟踪过程中动态目标的特征光谱提取方法
US10657422B2 (en) * 2017-04-20 2020-05-19 The Boeing Company Methods and systems for hyper-spectral systems
CN107054654A (zh) * 2017-05-09 2017-08-18 广东容祺智能科技有限公司 一种无人机目标跟踪系统及方法
CN109215056A (zh) * 2017-07-03 2019-01-15 昊翔电能运动科技(昆山)有限公司 目标追踪方法及装置
CN109214243A (zh) * 2017-07-03 2019-01-15 昊翔电能运动科技(昆山)有限公司 目标跟踪方法、装置及无人机
CN107679454A (zh) * 2017-08-28 2018-02-09 深圳市盛路物联通讯技术有限公司 环境监测方法和相关设备
US20190096045A1 (en) * 2017-09-28 2019-03-28 4Sense, Inc. System and Method for Realizing Increased Granularity in Images of a Dataset
US11328513B1 (en) 2017-11-07 2022-05-10 Amazon Technologies, Inc. Agent re-verification and resolution using imaging
US10690525B2 (en) * 2018-01-03 2020-06-23 General Electric Company Systems and methods associated with unmanned aerial vehicle targeting accuracy
CN108225277A (zh) * 2018-03-09 2018-06-29 深圳臻迪信息技术有限公司 无人机的图像获取方法、视觉定位方法、装置、无人机
CN109165628B (zh) * 2018-09-12 2022-06-28 首都师范大学 提高动目标检测精度的方法、装置、电子设备及存储介质
KR20220004741A (ko) * 2019-06-07 2022-01-11 바스프 코팅스 게엠베하 객체 인식 시스템을 위한 적어도 하나의 실측 정보 데이터베이스를 형성하기 위한 디바이스 및 방법
CN112966134B (zh) * 2021-03-26 2022-06-28 北京亿耘科技有限公司 一种遥感影像数据处理方法、系统和存储介质
CN114694026B (zh) * 2022-03-30 2024-12-10 西安工业大学 基于压缩光谱成像的高光谱快速目标检测方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011101856A2 (en) * 2010-02-21 2011-08-25 Elbit Systems Ltd. Method and system for detection and tracking employing multi view multi spectral imaging
CN102393913A (zh) * 2011-10-31 2012-03-28 北京航空航天大学 一种基于光谱指纹特征的弱小目标精确跟踪方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5559496A (en) * 1993-05-19 1996-09-24 Dubats; William C. Remote patrol system
US6985172B1 (en) * 1995-12-01 2006-01-10 Southwest Research Institute Model-based incident detection system with motion classification
EP1563686B1 (en) * 2002-11-12 2010-01-06 Intellivid Corporation Method and system for tracking and behavioral monitoring of multiple objects moving through multiple fields-of-view
US6967612B1 (en) * 2004-10-22 2005-11-22 Gorman John D System and method for standoff detection of human carried explosives
US20070224694A1 (en) * 2006-02-10 2007-09-27 Puchalski Daniel M Method and system for hyperspectral detection of animal diseases
WO2007098123A2 (en) * 2006-02-16 2007-08-30 Clean Earth Technologies, Llc Method for spectral data classification and detection in diverse lighting conditions
US20080243439A1 (en) * 2007-03-28 2008-10-02 Runkle Paul R Sensor exploration and management through adaptive sensing framework
DE102009020709A1 (de) * 2009-05-11 2010-11-18 Basso, Gertrud Verfahren und Vorrichtung zur Überwachung und Detektion von Zuständen der Luft und Bewuchs in Waldgebieten mit selbstlernenden Analyseverfahren zur Generierung von Alarmwahrscheinlichkeiten
US8203114B2 (en) * 2009-05-14 2012-06-19 Raytheon Company Adaptive spatial-spectral processing (ASSP)
US9103714B2 (en) * 2009-10-06 2015-08-11 Chemimage Corporation System and methods for explosives detection using SWIR
JP5285575B2 (ja) * 2009-11-04 2013-09-11 日本放送協会 人物行動判定装置及びそのプログラム
US8285079B2 (en) * 2010-03-19 2012-10-09 Sony Corporation Method for highly accurate estimation of motion using phase correlation
US20120274775A1 (en) * 2010-10-20 2012-11-01 Leonard Reiffel Imager-based code-locating, reading and response methods and apparatus
US8989501B2 (en) * 2012-08-17 2015-03-24 Ge Aviation Systems Llc Method of selecting an algorithm for use in processing hyperspectral data

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011101856A2 (en) * 2010-02-21 2011-08-25 Elbit Systems Ltd. Method and system for detection and tracking employing multi view multi spectral imaging
CN102393913A (zh) * 2011-10-31 2012-03-28 北京航空航天大学 一种基于光谱指纹特征的弱小目标精确跟踪方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240303964A1 (en) * 2023-03-07 2024-09-12 The Boeing Company Spectral Image Relationship Extraction

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EP2698740A3 (en) 2016-06-01
CA2823369A1 (en) 2014-02-17
EP2698740A2 (en) 2014-02-19
US20140050352A1 (en) 2014-02-20
CN103810226A (zh) 2014-05-21
CA2823369C (en) 2019-12-17
JP2014038620A (ja) 2014-02-27
JP6411718B2 (ja) 2018-10-24
US9122929B2 (en) 2015-09-01
BR102013020974A2 (pt) 2018-02-14

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