Prof. Hiroshi Hanaizumi Profile

Prof. Hiroshi Hanaizumi

Professor at Hosei Univ

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Author

Publications (9)

Proceedings Article | 11 December 2008 Paper

A method for detecting change in coral reef using pan-sharpened satellite images

Hiroshi Hanaizumi, Mizue Akiba, Hiroya Yamano, Tsuneo Matsunaga

Proceedings Volume 7149, 71490T (2008) https://doi.org/10.1117/12.806398

KEYWORDS: Near infrared, Spatial resolution, Canonical correlation analysis, Satellite imaging, Earth observing sensors, Satellites, Image resolution, Image processing, Visible radiation, Signal to noise ratio

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Proceedings Article | 31 January 2002 Paper

Simplified method for measuring minor gas constituents from ILAS-II transmittance spectra

Hiroshi Hanaizumi, Tatsuya Yokota

Proceedings Volume 4539, (2002) https://doi.org/10.1117/12.454428

KEYWORDS: Transmittance, Gases, Atmospheric modeling, Data modeling, Sensors, Radiative transfer, Temperature metrology, Numerical simulations, Error analysis, Absorption

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In order to measure vertical profiles of minor gas concentrations in the stratosphere, Improved Limb Atmosphere Spectrometers (ILAS and ILAS-II) have been developed. ILAS was the first generation sensor and made observations in 1996 and 1997. ILAS-II will measure atmospheric limb transmittance in 66 spectral bands (whereas 44 for ILAS) in the thermal infrared region by observing solar ray passed through the atmosphere. Vertical profiles of minor gases are simultaneously retrieved by a spectral fitting algorithm with an onion-peeling method for vertical profiling. This algorithm adopts a precise radiative transfer calculation and is very accurate, but usually the standard radiative transfer calculation needs huge volume of line-by-line calculations of molecular absorption to simulate theoretical limb transmittance spectra by using the HITRAN database. Methods for accelerating the algorithm have been required. In the ILAS operational program, a table look-up method, which needs an excellent computer system, was used for rapid calculations. We proposed a simplified method, which predicts the gas profiles from the measured limb transmittance spectra and vertical profiles of atmospheric pressure and temperature without iterative calculations by using a multiple regression technique. The Principal Component Expansion (PCE) is used for reducing the scale of the multiple regression model. In the training process, coefficients of the model are estimated from the previously retrieved data sets including measured limb transmittance spectra, vertical profiles of atmospheric pressure and temperature, and retrieved gas profiles. Then, the method predicts gas profiles from the newly measured limb transmittance spectra and pressure and temperature profiles. The validity of the method was confirmed by numerical simulation using the MODTRAN v.3.5 radiative transfer code. The proposed method was also applied to the actual 3474 ILAS observation data sets. The model trained by 3373 data sets well predicted the gas profiles for another 100 data sets which are selected randomly . This proposed method can be used for quick look of ILAS-II measured data and for generating the initial profiles for the operational spectral fitting algorithm.

Proceedings Article | 21 December 2000 Paper

Automated method to estimate the baseline parameters for deriving the accurate digital elevation model

Masaki Kagawa, Hiroshi Hanaizumi

Proceedings Volume 4173, (2000) https://doi.org/10.1117/12.410661

KEYWORDS: Stanford Linear Collider, Coherence (optics), Interferometric synthetic aperture radar, Image processing, Synthetic aperture radar, Satellites, Distortion, Image quality, Data acquisition, Spatial resolution

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Proceedings Article | 14 December 1999 Paper

Fast method for unwrapping InSAR raw interferogram

Hiroshi Hanaizumi, Masaki Kagawa, Sadao Fujimura

Proceedings Volume 3871, (1999) https://doi.org/10.1117/12.373244

KEYWORDS: Phase shifts, Interferometric synthetic aperture radar, Switching, Copper, Signal processing, Coherence (optics), Stanford Linear Collider, Image processing, Synthetic aperture radar, Speckle

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Proceedings Article | 22 December 1997 Paper

Automated registration method to correspond control point pairs with sub-pixel accuracy

Hiroshi Hanaizumi, Yoshie Kinugawa, Sadao Fujimura

Proceedings Volume 3217, (1997) https://doi.org/10.1117/12.295605

KEYWORDS: Image registration

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Proceedings Article | 17 December 1996 Paper

Automated registration method with disparity detection for remotely sensed multispectral images

Hiroshi Hanaizumi, Yutaka Kanemoto, Sadao Fujimura

Proceedings Volume 2955, (1996) https://doi.org/10.1117/12.262892

KEYWORDS: Optical flow, Image registration, Image processing, Multispectral imaging, Algorithm development, Video, Astatine, Automatic control, Process control, Numerical simulations

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Proceedings Article | 17 November 1995 Paper

Binary division algorithm using a linear discriminant function for the cluster analysis of remotely sensed multispectral images

Hiroshi Hanaizumi, Shinji Chino, Sadao Fujimura

Proceedings Volume 2579, (1995) https://doi.org/10.1117/12.226832

KEYWORDS: Image processing, Multispectral imaging, Binary data, Principal component analysis, Image compression, Algorithm development, Data processing, Numerical simulations, Statistical analysis, Sun

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Proceedings Article | 30 December 1994 Paper

Method for change analysis with weight of significance using multitemporal multispectral images

Hiroshi Hanaizumi, Shinji Chino, Sadao Fujimura

Proceedings Volume 2315, (1994) https://doi.org/10.1117/12.196726

KEYWORDS: Image processing, Vegetation, Canonical correlation analysis, Error analysis, Numerical simulations, Multispectral imaging, Environmental monitoring, Image classification, Direct methods, Computed tomography

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Proceedings Article | 31 August 1993 Paper

Automated method for estimation of terrain height from SPOT stereo pair images

Hiroshi Hanaizumi, Tsutomu Hibino, Sadao Fujimura

Proceedings Volume 1941, (1993) https://doi.org/10.1117/12.154678

KEYWORDS: Image registration, Error analysis, Satellites, Edge detection, Satellite imaging, Computer programming, Earth observing sensors, Distortion, Image processing, Stereoscopy

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Showing 5 of 9 publications

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