CN102194099B - 用于高光谱目标探测方法的高级背景估计技术和电路 - Google Patents

用于高光谱目标探测方法的高级背景估计技术和电路 Download PDF

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CN102194099B
CN102194099B CN201110026117.3A CN201110026117A CN102194099B CN 102194099 B CN102194099 B CN 102194099B CN 201110026117 A CN201110026117 A CN 201110026117A CN 102194099 B CN102194099 B CN 102194099B
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cem
target
spectrum
image data
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CN102194099A (zh
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V·库克沙
J·克鲁兹-阿尔布雷克特
R·M·马蒂克
P·彼得
M·W·伍尔博特
D·R·杰威
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Boeing Co
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/13—Satellite images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/17—Terrestrial scenes taken from planes or by drones
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/194—Terrestrial scenes using hyperspectral data, i.e. more or other wavelengths than RGB
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Remote Sensing (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Astronomy & Astrophysics (AREA)
  • Image Processing (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Image Analysis (AREA)
CN201110026117.3A 2010-02-17 2011-01-20 用于高光谱目标探测方法的高级背景估计技术和电路 Active CN102194099B (zh)

Applications Claiming Priority (2)

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US12/707,672 2010-02-17
US12/707,672 US8280111B2 (en) 2010-02-17 2010-02-17 Advanced background estimation technique and circuit for a hyper-spectral target detection method

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CN102194099B true CN102194099B (zh) 2015-10-21

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EP (1) EP2365463A1 (enExample)
JP (1) JP5925417B2 (enExample)
CN (1) CN102194099B (enExample)

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102750703B (zh) * 2012-06-27 2015-01-07 北京航空航天大学 一种基于直线分割的遥感图像机场自动检测方法
EP2693755A3 (en) * 2012-07-31 2015-09-09 Sony Mobile Communications AB New gamut control method for improving image performance of parallax barrier S3D display
GB2506688A (en) * 2012-10-08 2014-04-09 Bae Systems Plc Detection of a target in a scene using hyperspectral imaging
GB2506687B (en) 2012-10-08 2018-02-07 Bae Systems Plc Hyperspectral imaging of a moving scene
JP6248577B2 (ja) * 2013-11-26 2017-12-20 日本電気株式会社 スリット幅変更装置及び方法並びにスペクトル出力装置
CN104463897B (zh) * 2014-12-30 2017-11-10 电子科技大学 一种高光谱目标探测的方法
CN105067116B (zh) * 2015-07-15 2017-06-30 北京农业信息技术研究中心 一种画幅式成像光谱数据的拼接方法及系统
US10152802B2 (en) 2016-03-31 2018-12-11 Radiant Geospatial Solutions Llc Method and apparatus for imaging the silhouette of an object occluding a light source using a synthetic aperature
US11573124B2 (en) 2016-04-14 2023-02-07 National University Corporation Hokkaido University Computer storage medium, network system for distributing spectral camera control program and spectral image capturing method using spectral camera control device
MY193902A (en) 2016-04-14 2022-10-31 Univ Hokkaido Nat Univ Corp Spectral camera control device, spectral camera control program, spectral camera control system, aircraft equipped with said system, and spectral image capturing method
CN106056044B (zh) * 2016-05-19 2019-03-29 北京环境特性研究所 一种基于端元丰度反演的高光谱图像发射率光谱提取方法
CN106022286B (zh) * 2016-05-30 2017-05-31 中国石油大学(华东) 一种遥感景象的自动识别方法
CN106802283B (zh) * 2016-12-31 2018-11-30 华中科技大学 一种获取谱差异的方法及系统
KR101760474B1 (ko) 2017-03-31 2017-07-25 (주)아세아항측 중금속 함유토양 핫스팟 탐지를 위한 초분광 영상처리 진행방법
TWI624807B (zh) * 2017-09-27 2018-05-21 Taichung Veterans General Hosital 醫學影像之迭代式分析法
CN107977619B (zh) * 2017-11-28 2021-02-23 北京航空航天大学 一种基于集成学习约束能量最小化的高光谱目标检测方法
US10684216B2 (en) * 2018-03-30 2020-06-16 Konica Minolta Laboratory U.S.A., Inc. Multi-spectral gas quantification and differentiation method for optical gas imaging camera
CN109916839B (zh) * 2019-04-03 2021-03-02 中国矿业大学 一种基于高分遥感影像的露头残煤燃烧中心精准探测方法
US11170218B2 (en) * 2019-05-13 2021-11-09 Deere & Company Mobile work machine control system with terrain image analysis
CN112070098B (zh) * 2020-08-20 2024-02-09 西安理工大学 基于频率调整模型的高光谱图像显著目标检测方法
CN112268519B (zh) * 2020-09-27 2022-04-19 西北工业大学宁波研究院 基于dmd的光谱成像目标检测方法及系统
CN112287871B (zh) * 2020-11-12 2023-01-17 广东海洋大学 基于多特征与光谱融合的近岸水产养殖区遥感图像提取方法
CN114694010B (zh) * 2022-03-24 2024-10-25 西安工业大学 基于光谱解混合的目标检测方法
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
CN114693975B (zh) * 2022-03-31 2025-06-20 南京林业大学 用于深度学习的光谱区域联合识别方法
US20240303964A1 (en) * 2023-03-07 2024-09-12 The Boeing Company Spectral Image Relationship Extraction

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4150844B2 (ja) * 2001-07-05 2008-09-17 コニカミノルタビジネステクノロジーズ株式会社 画像処理装置および画像処理プログラム
US7366326B2 (en) * 2003-06-24 2008-04-29 University Of Maryland, Baltimore County Real-time implementation of field programmable gate arrays (FPGA) design in hyperspectral imaging
JP4623412B2 (ja) * 2004-06-29 2011-02-02 日本電気株式会社 端成分データベース構築方法、端成分データベース構築装置及び端成分データベース構築プログラム
US7792321B2 (en) * 2004-07-28 2010-09-07 The Aerospace Corporation Hypersensor-based anomaly resistant detection and identification (HARDI) system and method
JP4553297B2 (ja) * 2004-08-02 2010-09-29 株式会社リコー 画像処理装置
US7515084B1 (en) 2007-03-22 2009-04-07 Hrl Laboratories, Llc Analog to digital converter using asynchronous pulse technology
JP2009276902A (ja) * 2008-05-13 2009-11-26 Toshiba Corp マルチスペクトル画像の処理装置、処理方法及び処理プログラム

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
A NEW APPROACH TO QUANTIFYING ABUNDANCES OF MATERIALS IN MULTISPECTRAL IMAGES;Milton Smith;《Geoscience and Remote Sensing Symposium》;19941231;全文 *
Mapping the distribution of mine tailings in the Coeur dAlene River Valley, Idaho, through the use of a constrained energy minimization technique;William H 等;《Application of Constrained Energy Minimization》;19971231;第68页-71页 *
Stephen Boyd 等.Approximation and fitting.《Convex Optimization》.2004, *

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Publication number Publication date
JP2011169896A (ja) 2011-09-01
CN102194099A (zh) 2011-09-21
US20110200225A1 (en) 2011-08-18
US8280111B2 (en) 2012-10-02
JP5925417B2 (ja) 2016-05-25
EP2365463A1 (en) 2011-09-14

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