Annals of Faculty of Computer and Information Sciences, Hosei University
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HOME >> No.9 CONTENTS >> Hiroshi HANAIZUMI
Professor
Hiroshi HANAIZUMI
Refereed Publications
  1. H. Hanaizumi, M. Akiba, H. Yamano and T. Matsunaga, “A Pan-Sharpening Method for Coral Reef Monitoring with Higher Accuracy,” in Abstract Book of 11th Int. Coral Reef Symposium, pp.428, July 2008
    Abstract - A pan-sharpening method was proposed as the first step for building a global monitoring system for temporal change of coral reef with high accuracy and low cost. Firstly, low spatial resolution multi-spectral image was enlarged (increasing number of pixels) and co-registered onto panchromatic image. Based on multiple regression analysis, brightness information of the enlarged multi-spectral image was replaced with that of the panchromatic image so that all spectral density scatter-diagrams gave us linear shapes along the identical line (unity gradients and zero y-intercept). The method was characterized by its simplicity and faithfulness in preserving color information.
  2. H. Hanaizumi, M. Akiba, H. Yamano and T. Matsunaga, “A method for detecting change in coral reef using pan-sharpened satellite images,” in Proc. SPIE Asia Pacific Remote Sensing 2008, 7149-31, November 2008
    Abstract - A method was developed for global monitoring of temporal change of coral reef using pan-sharpened color images with higher accuracy and lower cost. The method consisted of 3 blocks; image co-registration for removing complex discrepancy due to parallax among original color image and panchromatic one, pan-sharpening with preserving color information, and change detection with suppressing noise such as sea waves. The method was successfully applied to an actual FORMOSAT2 multi-temporal data set.
Other Publications
  1. H.Hanaizumi, “A Method for Extraction of Corresponding Point Pairs among Lung Vessels In Multi-Temporal Helical CT Data,” in IEICE Technical Report, 107-461, pp.7-12, January 2008
  2. S.Okamoto, H.Hanaizumi and R.Hagiwara, “An Object Tracking System using PC Controlled Cameras Connected with Network,” IEICE Technical Report, 108-324, pp.53-58, November 2008

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