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Researcher Information

last modified：2023/06/28

Assistant Professor　KUBO Mamoru

Mail

Faculty, Affiliation

Faculty of Frontier Engineering,Institute of Science and Engineering

College and School Educational Field

Division of Frontier Engineering, Graduate School of Natural Science and Technology
School of Frontier Engineering, College of Science and Engineering

Laboratory

Academic Background

【Academic background(Doctoral/Master's Degree)】
Nagoya Institute of Technology　Master　Graduate School, Division of Engineering　199203　Completed
【Academic background(Bachelor's Degree)】
Nagoya Institute of Technology　1990

Career

Year & Month of Birth

Academic Society



Award

Specialities

Image Analysis、Perceptual information processing、Measurement engineering

Speciality Keywords

Photogrammetry, Remote sensing, Image analysis

Research Themes

Image Analysis

Books

Papers

  • 　Classification of polar satellite data using minimum distance method　Memoirs of National Institute of Polar Research Special Issue　52　149-157　1998/07
  • 　Cloud Extraction from Polar Satellite Data using Modified Mahalanobis Classifier　Polar Meteorology and Glaciology　12　97-103　1998/11
  • 　Improved Topographic Correction for Satellite Imagery　IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS　E84-D　12　1820-1827　2001/12
  • 　Analysis of relationships between image data and spectrum of vegetation measured from helicopter　Proc. IEEE Int. Conf. Geosci. Remote Sensing　1657-1659　2001/07
  • 　Textural Feature Extraction of Tree Using Co-occurrence Matrix from Aerial Images　SICE Annual Conference　1790-1795　2003/08

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  • 　Analysis of Temporal Changes in Vegetation in Central Japan by Remote Sensing and Ground Data　Proceedings of IEEE 1999 International Geoscience and Remote Sensing Symposium　2　1090-1092　1999/06
  • 　Calculation of NDVI in mountainous areas　Proceedings of IEEE 2001 International Geoscience and Remote Sensing Symposium　5　2340-2342　2001/07
  • 　Comparison of Vegetation Measured from Three Different Distance　Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium　1　423-425　2000/07
  • 　Continuous Analysis of Sea Ice Distribution by Geometric Transformation and Template Matching　Proceedings of 1999 IEEE International Conference on Image Processing　2　321-325　1999/10
  • 　Detection of clouds from NOAA/AVHRR channel 4 in the Antarctic　Proceedings of IEEE 1999 International Geoscience and Remote Sensing Symposium　1　690-692　1999/06
  • 　Extraction of clouds from satellite imagery in the Antarctic using wavelet transform　Proceedings of IEEE 2001 International Geoscience and Remote Sensing Symposium　5　2158-2160　2001/07
  • 　Extraction of Clouds in the Antarctic Using Wavelet Analysis　Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium　5　2170-2172　2000/07
  • 　Sea Ice Concentration and Floe Size Distribution in the Antarctic Using Video Image Processing　1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings　1　414-416　1997/08
  • 　Sea Ice Video Image Processing Using Geometric Transformation and Template Matching　Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium　2　475-477　2000/07
  • 　Study of Topographic Factor Effect and Correction Effectiveness Using Landsat TM Data　Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium　2　618-620　2000/07
  • 　Temporal Analysis of Forest Activity using Remote Sensing and DEM　Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium　1　316-320　2000/07
  • 　Vegetation measured at three different scales at Kanazawa university, kakuma campus　Proceedings of 2000 International Symposium on Environmental Monitoring in East Asia　123-124　2000/07
  • 　Helicopter based observation of vegetation　Proc. Int. Symp. Environmental Monitoring in East Asia　114-121　2001/09
  • 　Represent of tree crown by multiple circles using aerial image　Proc. IEEE Int. Conf. Geosci. Remote Sensing　3411-3413　2002/06
  • 　Delineation of tree crown in high resolution satellite image using circle expression and watershed algorithm　Proc. IEEE Int. Conf. Geosci. Remote Sensing　3　1577-1580　2004/09
  • 　Watershed segmentation and classification of tree species using high resolution forest imagery　Proc. IEEE Int. Conf. Geosci. Remote Sensing　6　3822-3825　2004/09
  • 　Tree crown detection and classification using forest imagery by IKONOS　Mamoru KUBO, Ken-ichiro MURAMOTO　Proc. IEEE Int. Conf. Geosci. Remote Sensing　6　4358-4361　2005/07
  • 　Identification of individual tree crowns from satellite image and image-to-map rectification　Mamoru KUBO, Shu NISHIKAWA, Eiji YAMAMOTO, Ken-ichiro MURAMOTO　Proc. IEEE Int. Conf. Geosci. Remote Sensing　1905-1908　2007/07
  • 　Classification of clouds in the Japan Sea area using NOAA AVHRR satellite images and self-organizing map　Mamoru KUBO, Ken-ichiro MURAMOTO　Proc. IEEE Int. Conf. Geosci. Remote Sensing　2056-2059　2007/07
  • 　Matching of high resolution satellite image and tree crown map　Ken-ichiro Muramoto　37　4　1401-1404　2008/08
  • 　Z - R relation for snowfall using small Doppler radar and high sensitive snow gauges　Ken-ichiro Muramoto, et al.　5439-5444　2009/08
  • 　Visualization of water vapor distribution in the lower atmosphere using two lidars　Ken-ichiro Muramoto, et al.　5445-5450　2009/08
  • 　Shape classification of snow particle into snowflake and graupel using image processing　Ken-ichiro Muramoto, et al.　5451-5456　2009/08

Conference Presentations

Others

Arts and Fieldwork

Patent

Theme to the desired joint research

Grant-in-Aid for Scientific Research

○「Ka帯雲レーダと地上観測を用いた氷晶－雪片変化過程の解析」(2016-2018)　
○「全天ハイパースペクトルカメラを用いた森林動態の3次元モニタリング」(2014-2016)　
○「高分解能衛星データと複数デジタルカメラを用いた森林動態の３次元モニタリング 」(2011-2013)　
○「高分解能衛星画像とデジタルカメラを用いた３次元森林樹冠地図の作成」(2008-2010)　
○「高分解能衛星画像を用いた森林樹冠地図の作成」(2006-2007)　
○「衛星観測に基づく雲底高度推定とその応用による衛星データ同化手法の開発」(2014-2017)　
○「地球環境観測データベースの水平・垂直統合化 」(2011-2013)　
○「ライダとレーダの同時観測による雲から地上までの時空間降雪解析 」(2010-2013)　
○「高解像度衛星データ活用のための東アジアの植生調査」(2008-2011)　
○「雲から地上までの３次元水蒸気分布計測とレーダ降雪観測への応用」(2007-2009)　
○「突然変異魚の表現型解析に向けた視覚性諸刺激応答行動の定量化 」(2006-2007)　

Competitive research funding,Contribution

Collaborative research,Consignment study

Classes (Bachelors)

○Programming Exercise(2019)
○Fundamental Electronic and Information Laboratory(2019)
○Pattern Recognition A(2019)
○Pattern Recognition B(2019)
○Information and Computer System Engineering Laboratory 2(2019)
○Pattern Recognition(2019)
○Digital Image Processing Techniques A(2019)
○Digital Image Processing Techniques B(2019)
○Independent Research (KUSDP)(2019)

Classes (Graduate Schools)

International Project

International Students

Lecture themes

Others (Social Activities)

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