研究者業績

福田 盛介

フクダ セイスケ  (Seisuke Fukuda)

基本情報

所属
国立研究開発法人宇宙航空研究開発機構 宇宙科学研究所 教授
学位
博士(工学)(2000年3月 東京大学)

J-GLOBAL ID
200901089427271713
researchmap会員ID
1000256262

外部リンク

学歴

 2

受賞

 1

論文

 55
  • S Fukuda, H Hirosawa
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 37(2) 1168-1172 1999年3月  
    The smoothing effect of the wavelet-based speckle filtering that we proposed is investigated. The filtering reduces the amplitude of wavelet coefficients, and a theoretical investigation with the Haar basis derives a functional relation between the ENL and two parameters: the wavelet level and the degree of the amplitude reduction.
  • S Fukuda, H Hirosawa
    INTERNATIONAL JOURNAL OF REMOTE SENSING 19(3) 507-519 1998年2月  
    A filter for suppressing speckle in synthetic aperture radar (SAR) images utilizing wavelet is proposed. The filter suppresses speckle by reducing the amplitude of the detail images in wavelet subspaces, while preserving edges by releasing the amplitude reduction around edges; information on edges, contained in the detail images, is utilized for edge detection. Simulations and application to SAR images have shown that the performance of the filter is satisfactory in both smoothing and edge preservation, and in generating visually-natural images as well.
  • S Fukuda, H Hirosawa
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5 357-359 1998年  査読有り
    A classification scheme of land covers in SAR images using wavelet-based textural information is presented. The proposed scheme treats multifrequency polarimetric data. Extraction of texure features, polarization selection, feature reduction, and so on, are discussed. The scheme has been successfully applied to the Flevoland site.
  • S Fukuda, H Hirosawa
    IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV 1187-1189 1997年  査読有り
    This paper proposes new techniques of multiresolution analysis and processing of synthetic aperture radar (SAR) images using wavelets. Here, two works are presented; one is speckle reduction by reducing the amplitude of the detail images in wavelet subspaces, while preserving edges by releasing the amplitude reduction around edges, and the other is estimation of fractal dimension which is featuring 'roughness' of the 2-D surface, by wavelet-based multiresolution analysis combined with the fractal Brownian motion (fBm). Both methods have been satisfactorily applied to real SAR images, and are expected to be useful for SAR remote sensing.
  • 福田盛介, 廣澤春任
    電子情報通信学会論文誌 J79-A(12) 1994-2001 1996年  

MISC

 8

講演・口頭発表等

 144

担当経験のある科目(授業)

 4

共同研究・競争的資金等の研究課題

 7