講演名 2016-11-24
Hybrid PSO and GSA-based Band Prioritization for Band Selection of High Dimensional Data Sets
Yang Lang Chang(NTUT), Yung-Hao Lai(NTUT), Ming-Xiu Xu(NTUT), Jyh-Perng Fang(NTUT), Chihyuan Chu(G-AVE Technology Corporation),
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抄録(和) With the progress of remote sensing technology, the numbers of bands of hyperspectral images are increased rapidly. However, it leads to the increase of the computational complexity exponentially as problem size increases. The huge data quantity also causes the curse of dimensionality, which leads to the worse accuracy. Therefore, we must reduce the data quantity in order to prevent the curse of dimensionality. In this paper, we propose a novel method, which hybrids the particle swarm optimization (PSO) and gravitational search algorithms (GSA) with impurity function band prioritization (IFBP) method, to reduce and extract the number of bands of hyperspectral images. The experimental results show that the proposed approach can not only work efficiently for reducing the dimension of data sets but also having a better classification accuracy compared to other classifiers.
抄録(英) With the progress of remote sensing technology, the numbers of bands of hyperspectral images are increased rapidly. However, it leads to the increase of the computational complexity exponentially as problem size increases. The huge data quantity also causes the curse of dimensionality, which leads to the worse accuracy. Therefore, we must reduce the data quantity in order to prevent the curse of dimensionality. In this paper, we propose a novel method, which hybrids the particle swarm optimization (PSO) and gravitational search algorithms (GSA) with impurity function band prioritization (IFBP) method, to reduce and extract the number of bands of hyperspectral images. The experimental results show that the proposed approach can not only work efficiently for reducing the dimension of data sets but also having a better classification accuracy compared to other classifiers.
キーワード(和) Particle Swarm Optimization / Gravitational Search Algorithm / Impurity Function Band Prioritization / Hyperspectral Images / Multi Criteria Decision Making / Analytic Hierarchy Process
キーワード(英) Particle Swarm Optimization / Gravitational Search Algorithm / Impurity Function Band Prioritization / Hyperspectral Images / Multi Criteria Decision Making / Analytic Hierarchy Process
資料番号 SANE2016-64
発行日 2016-11-17 (SANE)

研究会情報
研究会 SANE
開催期間 2016/11/24(から2日開催)
開催地(和) 国立台北科技大学
開催地(英) National Taipei University of Technology (NTUT)
テーマ(和) ICSANE2016
テーマ(英) ICSANE2016
委員長氏名(和) 小林 弘一(阪工大)
委員長氏名(英) Hirokazu Kobayashi(Osaka Inst. of Tech.)
副委員長氏名(和) 水野 貴秀(JAXA) / 森山 敏文(長崎大)
副委員長氏名(英) Takahide Mizuno(JAXA) / Toshifumi Moriyama(Nagasaki Univ.)
幹事氏名(和) 牧 謙一郎(JAXA) / 小幡 康(三菱電機)
幹事氏名(英) Kenichiro Maki(JAXA) / Yasushi Obata(Mitsubishi Electric)
幹事補佐氏名(和) 毛塚 敦(電子航法研) / 秋田 学(電通大)
幹事補佐氏名(英) Atsushi Kezuka(ENRI) / Manabu Akita(Univ. of Electro-Comm.)

講演論文情報詳細
申込み研究会 Technical Committee on Space, Aeronautical and Navigational Electronics
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Hybrid PSO and GSA-based Band Prioritization for Band Selection of High Dimensional Data Sets
サブタイトル(和)
キーワード(1)(和/英) Particle Swarm Optimization / Particle Swarm Optimization
キーワード(2)(和/英) Gravitational Search Algorithm / Gravitational Search Algorithm
キーワード(3)(和/英) Impurity Function Band Prioritization / Impurity Function Band Prioritization
キーワード(4)(和/英) Hyperspectral Images / Hyperspectral Images
キーワード(5)(和/英) Multi Criteria Decision Making / Multi Criteria Decision Making
キーワード(6)(和/英) Analytic Hierarchy Process / Analytic Hierarchy Process
第 1 著者 氏名(和/英) Yang Lang Chang / Yang Lang Chang
第 1 著者 所属(和/英) National Taipei University of technology(略称:NTUT)
National Taipei University of technology(略称:NTUT)
第 2 著者 氏名(和/英) Yung-Hao Lai / Yung-Hao Lai
第 2 著者 所属(和/英) National Taipei University of technology(略称:NTUT)
National Taipei University of technology(略称:NTUT)
第 3 著者 氏名(和/英) Ming-Xiu Xu / Ming-Xiu Xu
第 3 著者 所属(和/英) National Taipei University of technology(略称:NTUT)
National Taipei University of technology(略称:NTUT)
第 4 著者 氏名(和/英) Jyh-Perng Fang / Jyh-Perng Fang
第 4 著者 所属(和/英) National Taipei University of technology(略称:NTUT)
National Taipei University of technology(略称:NTUT)
第 5 著者 氏名(和/英) Chihyuan Chu / Chihyuan Chu
第 5 著者 所属(和/英) G-AVE Technology Corporation(略称:G-AVE Technology Corporation)
G-AVE Technology Corporation(略称:G-AVE Technology Corporation)
発表年月日 2016-11-24
資料番号 SANE2016-64
巻番号(vol) vol.116
号番号(no) SANE-319
ページ範囲 pp.67-70(SANE),
ページ数 4
発行日 2016-11-17 (SANE)