CHINTAN A. SHAH
E-mail: cashah@ucla.edu
Homepage

EDUCATION

B.E. (Computer Engineering), Bombay University, 2000; M.S. (Computer Science), Syracuse University, 2003; C.Phil. (Geography), UCLA, 2008.

NOTES

[Research Internships]

(2006) ERDAS Core Algorithm Development Team, ERDAS IMGINE, Leica Geosystems Geospatial Imaging, Norcross, GA.

(2005) System Image Quality Group, Xerox Corporation, Webster, NY.

(2004) IMAQ Vision Algorithm Development Team, LabVIEW, National Instruments, Austin, TX.

PUBLICATIONS

[BOOK CHAPTERS]

Shah, C.A., 2004. Hyperspectral classification using ICA based mixture model, Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data (P.K. Varshney and M.K. Arora, editors), Springer Verlag, pp. 217 – 233.


[JOURNAL PUBLICATIONS]

Shah, C.A., Y. Sheng, and L.C. Smith, 2008. Automated image registration based on pseudoinvariant metrics of dynamic land-surface features, IEEE Transactions on Geoscience and Remote Sensing, 46(11): 3908 – 3916.

Sheng, Y, C.A. Shah, and L.C. Smith, 2008. Automated image registration for hydrologic change detection in the lake-rich Arctic, IEEE Geoscience and Remote Sensing Letters, 5(3): 414 – 418.

Shah, C.A., M.K. Arora, and P.K. Varshney, 2007. ICA mixture model algorithm for unsupervised classification of remote sensing imagery, International Journal of Remote Sensing, 28(8): 1711 – 1731.

Shah, C.A., M.K. Arora, and P.K. Varshney, 2004. Unsupervised classification of hyperspectral data: an ICA mixture model based approach, International Journal of Remote Sensing, 25(2): 481 – 487.


[CONFERENCE PROCEEDINGS]

Shah, C.A. and L.J. Quackenbush, 2007. Analyzing multi-sensor data fusion techniques: A multi-temporal change detection approach, Proceedings of the ASPRS 2007 Annual Convention, 7-11 May, Tampa, Florida, unpaginated CD-ROM.

Shah, C.A., I. Anderson, Z. Gao, S. Hao, and A. Leason, 2007. Towards the development of next generation remote sensing technology – ERDAS IMAGINE incorporates a higher order feature extraction technique based on ICA, Proceedings of the ASPRS 2007 Annual Convention, 7-11 May, Tampa, Florida, unpaginated CD-ROM.

Shah, C.A. and P.K. Varshney, 2004. A higher order statistical approach to spectral unmixing of remote sensing imagery, Proceedings of IEEE Geoscience and Remote Sensing Symposium, 20-24 September 2004, Anchorage, Alaska, pp. 1065 – 1068.

Shah, C.A., P. Watanachaturaporn, M.K. Arora, and P.K. Varshney, 2004. Some recent results on hyperspectral image classification, Proceedings of IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (Workshop honoring Dr. David A. Landgrebe), 27-28 October 2003, Greenbelt, Maryland, pp. 346 – 353.

Shah, C.A., M.K. Arora, and P.K. Varshney, 2003. ICA mixture model for unsupervised classification of non-Gaussian classes in multi/hyperspectral imagery, Proceedings of SPIE AeroSense - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, The International Society for Optical Engineering, 21-25 April 2003, Orlando, Florida, Volume 5093(1), pp. 569 – 580.

Shah, C.A., M.K. Arora, S.A. Robila, and P.K. Varshney, 2002. ICA mixture model based unsupervised classification of hyperspectral imagery, Proceedings of 31st Applied Imagery Pattern Recognition Workshop From color to Hyperspectral: Advancements in Spectral Imagery Exploitation, IEEE Computer Society, 16-18 October 2002, Washington D.C., pp. 29 – 35.

GRANTS AND AWARDS

(2008) QGE Grant Award, UCLA.
(2007) American Geophysical Union (AGU) Student Travel Grant Award.
(2007) Extramural Grant Award, UCLA.
(2006) UCLA Fellowship.
(2004) Master's Prize for Academic and Research Excellence, Syracuse University.
(2004) Kodak Student of The Year Award (Second Place), ASPRS-CNY.

ADVISORS

Prof. Yongwei Sheng

CONFERENCE PRESENTATIONS

[Selected]

Shah, C.A., Y. Sheng, L.C. Smith, J. Li, E. Lyons, K. Hinkel, and B. Winston, 2008. Satellite-based wetland mapping in high latitudes, AGU 2008 Fall Meeting, 15–19 December, San Francisco, California.

Shah, C.A., Y. Sheng, and L.C. Smith, 2007. An automated multi-temporal image co-registration technique for lake-rich environments based on pseudo invariant features, AGU 2007 Fall Meeting, 10–14 December, San Francisco, California.

Shah, C.A., M.K. Arora, and P.K. Varshney, 2003. ICA mixture model algorithm - A higher order statistical approach for unsupervised classification of remote sensing imagery, IEEE Western New York Image Processing Workshop, 17 October 2003, Rochester, New York.