1. T.Yamamoto and H.Hanaizumi, gAn Automated Method for Registration of Remotely Sensed Images with Adaptive Generation of Corresponding Point Pairs to Local disparities,h Trns. IEICE, Vol. J84-B, No.9, pp.1673-1682, Sept. 2001 (in Japanese)

2. T.Yamamoto, H.Hanaizumi and S.Chino, gA Change Detection Method for Remotely Sensed Multispectral and Multitemporal Images Using 3-D Segmentation,h IEEE Trans. GRS, Vol. 39, No.5, pp.976-985, May 2001

3. T. Yamamoto and H. Hanaizumi, gImprovement of Automated Method for Registration of Remotely Sensed Images,h Trans. SICE, Vol. 36, No.12, pp.1065-1070, December 2000 (in Japanese)

4. M.Kagawa and H.Hanaizumi, gAn automated method to estimate the baseline parameters for deriving the accurate digital elevation model,h Proc. SPIE Vol.4173 , pp.211-218, September 2000

5. M.Kagawa and H.Hanaizumi, gA Phase Unwrapping Method Using Direct Residue Removing,h Proc. Int. Geosci. Remote Sensing Symp., July 2000

6. T. Yamamoto and H. Hanaizumi, gAn Adaptive Delauney Triangulation Method and Its Application to Registration among Remotely Sensed Images,h Trans. SICE, Vol. 35, No.12, pp.1625-1627, December 1999 (in Japanese)

7. H. Okumura, H. Hanaizumi and T. Yoshikawa, gA Change Detection Method for Remotely Sensed Images Using a Statistical Test for Change Recognition and Change Pattern Discrimination,h Systems and Computers in Japan, Vol.30, No.12, December 1999

8. H.Hanaizumi and M.Kagawa, gA fast method for unwrapping InSAR raw interferogram,h Proc. SPIE Vol.3871, September 1999

9. T.Yamamoto, H.Hanaizumi and S. Fujimura , gA Change Detectcion Method for Remotely Sensed Multi-Spectral and Multi-Temporal Images Using 3-D Segmentation,h Proc. Int. Geosci. Remote Sensing Symp., June 1999

10. H.Hanaizumi, Y.Kanemoto and S.Fujimura, gAn improved method for accurate registration of remotely sensed images,h Proc. PIERS-1999, Vol.1, March 1999

11. H.Hanaizumi, Liu Jian Guo, John McM. Moore and Hoonyol Lee, gChange Detection using Multi-Temporal InSAR Coherence Images,h Proc. Int. Sympo. Noise Reduction for Imaging and Communication Systems, pp.251-256, November 1998

12. H. Hanaizumi, H. Sawada and T. Yokota, gA Band Model Computation System for Retrieving Vertical Profiles of Atmospheric Minor Constituents from Solar Occultation Sensor Data,h Trans. SICE, Vol. 34, No.6, pp.455-460, June 1998 (in Japanese)

13. H.Hanaizumi, Y.Kinugawa and S.Fujimura, gAn automated registration method to correspond control point pairs with sub-pixel accuracy,h Proc. SPIE, Vol.3217, pp.217-222, September 1997

14. H. Hanaizumi, T. Yamamoto and S. Fujimura, gA Method for Automated Registration of Satellite Remote Sensing Images,h Trans. SICE, Vol. 33, No.2, pp.81-86, February 1997 (in Japanese)

15. H.Hanaizumi, Y.Kanemoto and S.Fujimura, gAn automated method for accurate registration of remotely sensed images,h Proc. PIERS-1997, Vol.1, pp.275-275, January 1997

16. H.Hanaizumi, Y.Kanemoto and S.Fujimura, gAutomated Registration Method with Disparity Detection for Remotely Sensed Multispectral Images,h Proc. SPIE, Vol.2955, pp.2-8, September 1996

17. H.Hanaizumi, K.Saito, S.Chino and S.Fujimura, gAn Efficient Supervised Classification Method of Remotely Sensed Multispectral Images,h Proc. ISPRSf96, July 1996

18. H.Hanaizumi, T.Tsumashima and S.Fujimura,hArtificial Passive Vision using High Speed Pixel Matching,h Proc. AROB, Vol.1, pp.146-149,@ February 1996