Yoshio Yamaguchi

ORCID: 0000-0003-4144-8760
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About
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Research Areas
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Soil Moisture and Remote Sensing
  • Geophysical Methods and Applications
  • Cryospheric studies and observations
  • Radar Systems and Signal Processing
  • Direction-of-Arrival Estimation Techniques
  • Antenna Design and Optimization
  • Microwave Imaging and Scattering Analysis
  • Landslides and related hazards
  • Remote Sensing and LiDAR Applications
  • Geophysics and Gravity Measurements
  • Remote-Sensing Image Classification
  • Speech and Audio Processing
  • Remote Sensing and Land Use
  • Electromagnetic Scattering and Analysis
  • Ocean Waves and Remote Sensing
  • Millimeter-Wave Propagation and Modeling
  • Respiratory viral infections research
  • Optical Polarization and Ellipsometry
  • Electromagnetic Compatibility and Measurements
  • Silicon Carbide Semiconductor Technologies
  • Semiconductor materials and devices
  • Radio Wave Propagation Studies
  • Antenna Design and Analysis

Niigata University
2014-2024

National Hospital Organization
2015-2024

Tochigi Medical Center
2015-2024

National Institute of Advanced Industrial Science and Technology
2020-2023

Niigata Institute of Technology
2021

Japan Society of Chemotherapy
2018-2020

RIKEN Nishina Center
2010-2020

Saitama University
2020

Tokyo Denki University
2001-2019

Mitsubishi Electric (Japan)
2019

A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar (SAR) images. The covariance matrix approach used deal with the nonreflection symmetric case. This scheme includes and extends three-component decomposition method introduced by Freeman Durden dealing reflection symmetry condition that co-pol cross-pol correlations are close zero. Helix power added as fourth component which describes surface, double bounce, volume scattering. helix term take...

10.1109/tgrs.2005.852084 article EN IEEE Transactions on Geoscience and Remote Sensing 2005-07-27

This paper presents an improvement to a decomposition scheme for the accurate classification of polarimetric synthetic aperture radar (POLSAR) images. Using rotation coherency matrix minimize cross-polarized component, four-component scattering power is applied fully SAR It known that oriented urban area and vegetation signatures are decomposed into same volume mechanism in previous decompositions it difficult distinguish from oblique areas with respect direction illumination within...

10.1109/tgrs.2010.2099124 article EN IEEE Transactions on Geoscience and Remote Sensing 2011-02-09

This paper presents a new general four-component scattering power decomposition method by implementing set of unitary transformations for the polarimetric coherency matrix. There exist nine real independent observation parameters in 3 <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$\times$</tex></formula> matrix with respect to second-order statistics information. The proposed accounts all scheme. It...

10.1109/tgrs.2012.2212446 article EN IEEE Transactions on Geoscience and Remote Sensing 2012-09-24

A four-component decomposition scheme of the coherency matrix is presented here for analysis polarimetric synthetic aperture radar (SAR) images. The used to deal with nonreflection symmetric scattering case, which an extension covariance approach. same results have been obtained. advantage this approach explicit expressions four powers in terms elements, serve interpretation SAR data quantitatively

10.1109/lgrs.2006.869986 article EN IEEE Geoscience and Remote Sensing Letters 2006-07-01

In the three- or four-component decompositions, polarimetric scattering properties and corresponding physical models play essential roles for power decomposition. This letter proposes an improved decomposition method that employs a suitable volume model single- double-bounce in synthetic aperture radar image analysis. The cross-polarized <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HV</i> component is created by both single-bounce object (such...

10.1109/lgrs.2011.2162935 article EN IEEE Geoscience and Remote Sensing Letters 2011-09-16

Fully polarimetric model-based decompositions are developed by accounting for the physical scattering model and experimental SAR data acquisition processes. These offer promising straightforward interpretation highly improved inversion models visualizing images of scenarios optimally. However, attempts in existing to implement split real imaginary components <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math...

10.1109/tgrs.2018.2824322 article EN IEEE Transactions on Geoscience and Remote Sensing 2018-05-09

In this paper, a general scheme for complete model-based decomposition of the polarimetric synthetic aperture radar (POLSAR) coherency matrix data is presented. We show that POLSAR can be completely decomposed into three components contributed by volume scattering and two single scatterers (characterized rank-1 matrices). Under scheme, solving power amounts to generalized eigendecomposition problem, nonnegative constraint uniquely determines minimum eigenvalue as power. Furthermore, in order...

10.1109/tgrs.2013.2257603 article EN IEEE Transactions on Geoscience and Remote Sensing 2013-05-15

This paper presents scattering power decomposition images of fully polarimetric synthetic aperture radar (SAR) data for disaster monitoring. Utilization can derive full color with red-green-blue coding, red the double-bounce power, green volume and blue surface which each brightness corresponds to magnitude. Since events cause changes it becomes straightforward everyone recognize in decomposed provided time series sets are made available. After applying four-component image acquired Advanced...

10.1109/jproc.2012.2195469 article EN Proceedings of the IEEE 2012-05-30

Applications of fully polarimetric synthetic aperture radar (POLSAR) have increased in the past few decades. The potential model-based decompositions is coupled with information extraction from POLSAR data for target identification and classification. coherency matrix [T] nine independent parameters, associated some physical scattering models, serves as input to these decompositions. This paper attempts assign one such model real part T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tgrs.2019.2920762 article EN IEEE Transactions on Geoscience and Remote Sensing 2019-06-28

The members of the Japanese Society for Pediatric Infectious Diseases and Pulmonology have developed Guidelines Management Respiratory in Children with objective facilitating appropriate diagnosis, treatment prevention respiratory infections children. first edition was published 2004 fifth 2022. Guideline 2022 consists 2 parts, clinical questions commentary, includes general specific children underlying diseases severe infections. This executive summary outlines 2022, reference to Medical...

10.1097/inf.0000000000004041 article EN The Pediatric Infectious Disease Journal 2023-08-08

It is important to monitor environmental changes of the Earth's cover by remotely sensed data. This paper analyzes seasonal a wetland modified polarimetric four-component scattering power decomposition method. The data sets analyzed here are L- and X-band fully synthetic aperture radar (POLSAR) data, which have been acquired NICT/JAXA airborne interferometric system in 2004. Since there existed deficiency currently adopted schemes that negative powers appear few pixels image analysis, we...

10.1109/tgrs.2008.916326 article EN IEEE Transactions on Geoscience and Remote Sensing 2008-05-21

In this letter, a censoring scheme that iteratively updates the outlier/target maps for target detection in synthetic aperture radar (SAR) images is proposed. For each iteration, any pixels are indicated by outlier map as outliers rejected (censored out) from clutter estimation. The resulting detected then used new next iteration. This procedure continued until there no change to map, which output final result. proposed generically applicable both single-channel and multichannel SAR images....

10.1109/lgrs.2010.2098434 article EN IEEE Geoscience and Remote Sensing Letters 2011-01-24

The intent of this paper is to explore the application information obtained from fully polarimetric data for land cover classiflcation. Various classiflcation techniques are available in literature, but still uncertainty exists labeling various clusters their own classes without using any a priori information. Therefore, present work focused on analyzing useful intrinsic extracted SAR observables by decomposition techniques. eigenvalue and Pauli have been carried out separate basis...

10.2528/pierb11011405 article EN Progress In Electromagnetics Research B 2011-01-01

Basic principles of radar polarimetry are introduced. The target characteristic polarization state theory is developed first for the coherent case using three stage, basis transformation, and power (Mueller) matrix optimization procedures. Kennaugh's Huynen's theories verified monostatic reciprocal case. It shown that there exist, in total, five unique pairs states symmetric scattering which two pairs, cross-polarization null copolarization max identical, whereas cross-pol saddlepoint...

10.1109/5.104228 article EN Proceedings of the IEEE 1991-01-01

An adaptive general four-component scattering power decomposition method (AG4U) is proposed in this letter. The degree of polarization mis used as a criterion for the nature decomposition. In method, one among two complex special unitary transformation matrices chosen to transform real rotated coherency matrix based on largest value m. This transformed then utilized existing Yamaguchi et al. scheme with an extended volume model. applied Radarsat-2 full-polarimetic C-band data over San...

10.1109/lgrs.2015.2451369 article EN IEEE Geoscience and Remote Sensing Letters 2015-07-21

This paper examines the capability assessment of fully polarimetric L-band data for snow and nonsnow-area classifications. The sets used are Advanced Land Observation Satellite–Phased Array-Type L-Band Synthetic Aperture Radar data, optical Observing Satellite (ALOS)-advanced visible near-infrared radiometer-2 close to radar acquisition, environmental satellite–advanced synthetic aperture data. Several parameters discriminate snow-covered areas from nonsnow-covered in Indian Himalayan...

10.1109/tgrs.2013.2248369 article EN IEEE Transactions on Geoscience and Remote Sensing 2014-01-03

In this presentation, a new decomposition scheme of first using rotation the coherency matrix followed by four-component is presented. It shown airborne Pi-SAR data sets that oriented urban areas are clearly distinguished from volume scattering as double bounce objects matrix.

10.1109/igarss.2010.5650768 article EN 2010-07-01

An electronic model of the retina has been developed with a new technique in making interconnections between cells. The consists about 700 photoreceptors and same number output cells have concentric on-center type receptive fields show Mach-band Broca-Sulzer effects.

10.1109/proc.1970.8066 article EN Proceedings of the IEEE 1970-01-01

In this paper, the three-component power decomposition for polarimetric SAR (PolSAR) data with an adaptive volume scattering model is proposed. The assumed to be reflection-symmetric but parameterized. For each image pixel, first starts determining parameter based on matrix similarity metric. Then, a respective component retrieved established procedure. It has been shown that proposed method leads complete elimination of negative powers as result model. Experiments PolSAR from both NASA/JPL...

10.3390/rs4061559 article EN cc-by Remote Sensing 2012-05-29

This paper reflects the polarimetric synthetic aperture radar (POLSAR) data utilization for near-real-time earthquake and/or tsunami damage assessment in urban areas. In order to show potential of fully high-resolution SAR image sets, a four-component scattering power decomposition scheme has been developed and applied monitor disaster damages. The test site natural damages selected: parts coastal area affected by March 11, 2011, 9.0 magnitude that struck off Japan's northeastern coast...

10.1109/jproc.2012.2230311 article EN Proceedings of the IEEE 2013-01-18

We assessed vaccine effectiveness (VE) against medically attended, laboratory-confirmed influenza in children 6 months to 15 years of age 22 hospitals Japan during the 2013–14 season. Our study was conducted according a test-negative case-control design based on rapid diagnostic test (IRDT) results. Outpatients who came our clinics with fever 38°C or over and had undergone an IRDT were enrolled this study. Patients positive results recorded as cases, patients negative controls. Between...

10.1371/journal.pone.0136539 article EN cc-by PLoS ONE 2015-08-28
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