CN102819745B - 一种基于AdaBoost的高光谱遥感影像分类方法 - Google Patents
一种基于AdaBoost的高光谱遥感影像分类方法 Download PDFInfo
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Abstract
Description
类别 | 训练个数 | 测试个数 |
1 | 690 | 744 |
2 | 417 | 417 |
3 | 236 | 261 |
4 | 381 | 366 |
5 | 241 | 248 |
6 | 490 | 478 |
7 | 1228 | 1240 |
8 | 316 | 298 |
9 | 669 | 625 |
10 | 196 | 184 |
合计 | 4864 | 4861 |
数据 | 原始数据 | MNF |
特征数 | 202 | 30 |
类别 | Test | Test |
1 | 74.2% | 86.2% |
2 | 64.9% | 76.7% |
3 | 91.6% | 93.9% |
4 | 97.6% | 97.6% |
5 | 97.2% | 98.4% |
6 | 69.5% | 75.2% |
7 | 85.2% | 85.9% |
8 | 56.6% | 89.5% |
9 | 95.0% | 96.8% |
10 | 74.0% | 74.0% |
总体精度 | 81.3% | 87.2% |
Claims (1)
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Families Citing this family (21)
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CN103679677B (zh) * | 2013-12-12 | 2016-11-09 | 杭州电子科技大学 | 一种基于模型互更新的双模图像决策级融合跟踪方法 |
CN103745232B (zh) * | 2014-01-23 | 2017-01-18 | 西安电子科技大学 | 基于波段迁移的高光谱图像聚类方法 |
CN103745233B (zh) * | 2014-01-23 | 2017-10-24 | 西安电子科技大学 | 基于空间信息迁移的高光谱图像分类方法 |
CN103868865B (zh) * | 2014-02-24 | 2016-03-02 | 北京空间机电研究所 | 一种基于高光谱数据信息极大化的物质最优分类识别方法 |
CN103886097A (zh) * | 2014-04-04 | 2014-06-25 | 华侨大学 | 基于自适应提升算法的中文微博观点句识别特征的提取方法 |
CN103942788B (zh) * | 2014-04-11 | 2017-01-04 | 中国科学院遥感与数字地球研究所 | 高光谱遥感图像特征提取方法及装置 |
BR112017017079A2 (pt) | 2015-02-12 | 2018-04-10 | Koninklijke Philips N.V. | aparelho para classificação robusta, método realizado por um processador, e, mídia não transitória legível por computador |
CN104766092B (zh) * | 2015-03-26 | 2017-11-07 | 杭州电子科技大学 | 一种结合势函数的高光谱图像分类方法 |
CN105320967A (zh) * | 2015-11-04 | 2016-02-10 | 中科院成都信息技术股份有限公司 | 基于标签相关性的多标签AdaBoost集成方法 |
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CN107330456A (zh) * | 2017-06-23 | 2017-11-07 | 江南大学 | 一种基于改进AdaBoost算法的集成深度信念网络图像识别方法 |
CN107818339A (zh) * | 2017-10-18 | 2018-03-20 | 桂林电子科技大学 | 一种人类活动识别的方法 |
CN108303740B (zh) * | 2018-01-24 | 2020-11-06 | 吉林大学 | 一种航空电磁数据噪声压制方法及装置 |
CN108961468B (zh) * | 2018-06-27 | 2020-12-08 | 广东海洋大学 | 一种基于集成学习的船舶动力系统故障诊断方法 |
CN109344777A (zh) * | 2018-10-09 | 2019-02-15 | 电子科技大学 | 基于elm的高光谱遥感影像土地利用覆盖的优化分类方法 |
CN109635650A (zh) * | 2018-11-06 | 2019-04-16 | 中国电子科技集团公司电子科学研究院 | 能谱数据的核素种类的识别方法 |
CN109522859B (zh) * | 2018-11-27 | 2020-11-27 | 南京林业大学 | 基于高光谱遥感影像多特征输入的城市不透水层提取方法 |
CN110929631A (zh) * | 2019-11-19 | 2020-03-27 | 武汉大学 | 一种基于Lie-AdaBoost遥感影像的场景分类方法 |
CN112697179B (zh) * | 2020-11-17 | 2023-06-20 | 浙江工业大学 | 一种基于AdaBoost的布里渊频移提取方法 |
CN114445720B (zh) * | 2021-12-06 | 2023-06-20 | 西安电子科技大学 | 基于空谱深度协同的高光谱异常检测方法 |
CN117789038B (zh) * | 2024-02-26 | 2024-05-10 | 聊城莱柯智能机器人有限公司 | 一种基于机器学习的数据处理与识别模型的训练方法 |
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KR20090119565A (ko) * | 2008-05-16 | 2009-11-19 | 중앙대학교 산학협력단 | 임베디드 시스템 기반의 얼굴 탐색 및 인식 장치와 상기장치를 이용한 얼굴 탐색 및 인식 방법 |
CN101751689A (zh) * | 2009-09-28 | 2010-06-23 | 中国科学院自动化研究所 | 一种三维人脸重建方法 |
CN102103691A (zh) * | 2011-03-14 | 2011-06-22 | 南京邮电大学 | 一种基于主成分分析人脸的识别方法 |
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KR20090119565A (ko) * | 2008-05-16 | 2009-11-19 | 중앙대학교 산학협력단 | 임베디드 시스템 기반의 얼굴 탐색 및 인식 장치와 상기장치를 이용한 얼굴 탐색 및 인식 방법 |
CN101751689A (zh) * | 2009-09-28 | 2010-06-23 | 中国科学院自动化研究所 | 一种三维人脸重建方法 |
CN102103691A (zh) * | 2011-03-14 | 2011-06-22 | 南京邮电大学 | 一种基于主成分分析人脸的识别方法 |
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