CN106056084B - 一种多分辨层次化筛选的遥感图像港口船舶检测方法 - Google Patents
一种多分辨层次化筛选的遥感图像港口船舶检测方法 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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Families Citing this family (7)
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CN106709523B (zh) * | 2016-12-29 | 2020-01-10 | 北京理工雷科电子信息技术有限公司 | 一种基于s-hog特征的光学遥感图像船识别方法 |
CN106709914B (zh) * | 2017-01-05 | 2020-01-17 | 北方工业大学 | 一种基于双级dem海陆库的sar图像船舶检测虚警剔除方法 |
CN107169412B (zh) * | 2017-04-09 | 2021-06-22 | 北方工业大学 | 基于混合模型决策的遥感图像靠港船只检测方法 |
CN108460367A (zh) * | 2018-03-28 | 2018-08-28 | 北方工业大学 | 一种基于预判机制的目标检测方法 |
CN112241656A (zh) * | 2019-07-17 | 2021-01-19 | 上海肇观电子科技有限公司 | 图像检测方法和设备、处理器芯片电路以及存储介质 |
CN110991259B (zh) * | 2019-11-11 | 2023-05-12 | 中国船舶重工集团公司第七一七研究所 | 一种红外图像目标检测方法及*** |
CN111027512B (zh) * | 2019-12-24 | 2023-04-18 | 北方工业大学 | 一种遥感图像近岸船检测与定位方法及装置 |
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CN102855622A (zh) * | 2012-07-18 | 2013-01-02 | 中国科学院自动化研究所 | 一种基于显著性分析的红外遥感图像海面船只检测方法 |
CN102945378A (zh) * | 2012-10-23 | 2013-02-27 | 西北工业大学 | 一种基于监督方法的遥感图像潜在目标区域检测方法 |
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DE102006046063A1 (de) * | 2006-09-27 | 2008-04-03 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Verfahren und System zur Erfassung von Vehikelbewegungen |
CN102200575A (zh) * | 2010-12-02 | 2011-09-28 | 南京大学 | 一种基于恒虚警率的影像舰船检测方法 |
CN102663348A (zh) * | 2012-03-21 | 2012-09-12 | 中国人民解放军国防科学技术大学 | 一种光学遥感图像中的海上舰船检测方法 |
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CN102945378A (zh) * | 2012-10-23 | 2013-02-27 | 西北工业大学 | 一种基于监督方法的遥感图像潜在目标区域检测方法 |
CN104063870A (zh) * | 2014-07-04 | 2014-09-24 | 中国科学院大学 | 一种基于扫描线检测的海陆模板自动分割方法及其应用 |
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CN104992172A (zh) * | 2015-08-05 | 2015-10-21 | 北方工业大学 | 一种基于沿岸突异区扫描的港口遥感图像靠岸船舶检测方法 |
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