Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지
DOI QR코드

DOI QR Code

Simple Application Cases of Morphing Method using Geo-spatial Data

  • Lee, Ki-Won (Dept. of Information System Engineering, Hansung University) ;
  • Park, Yong-Jae (Dept. of Information System Engineering, Hansung University)
  • Published : 2008.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Morphing method, one of classic image processing algorithms, has been used in various application fields. The motivation of this work is to investigate its applicability in consideration to geo-spatial data including airborne or space-borne images. For this purpose, the Beier and Neely morphing algorithm is tentatively implemented in the form of a prototype with user interface. As the results, this feature-based morphing with paired image sets can be used for general users: image simulation using two or more images and construction of color-blending image between source image and destination image in different types. Some simple application cases were demonstrated. This scheme is the simple and useful approach for those who want to utilize both geo-spatial data sets and airborne/space-borne image sets.

Keywords

References

  1. Beier, T. and S. Neely, 1992. Feature-based Image Metamorphosis, Computer Graphics, 26(2): 35-42 https://doi.org/10.1145/142920.134003
  2. Bishop, I. D., S. M. Ramasamy, P. Stephens, and E. B. Joyce, 1999. Visualization of 8000 years of geological history in southern India, International Journal of Geographical Information Science, 13: 417-427 https://doi.org/10.1080/136588199241283
  3. Fell, H. J., V. K. Proulx, and R. Rasala, 1998. Scaling: A Design Pattern in Introductory Computer Science Courses, Proceedings on 1998 SIG-CSE (Computer Science Education)
  4. Ohira, W. and Y. Wada, 2002. Animation of Spot Vegetation Instrument Data using Morphing, ISPRS Commission V, WG V/6, Intl' Workshop on Visualization and Animation of Landscape
  5. Russ, J. C., 2002. The Image Processing Handbook, The Fourth Edition, CRC Press, pp.189-205
  6. Scarmana, G. and J. G. Fryer, 2006. Enhancing a sequence of facial images by combining multiple undersampled and compressed images, The Photogrammetric Record, 21: 161-175 https://doi.org/10.1111/j.1477-9730.2006.00355.x
  7. Toll, D., K. Arsenault, A. Pinheiro, P. Houser, C. Peters-Lidard, and S. Kumar, 2005. Using the NASA Land Information System to integrate Earth science data for water cycle applications, Geophysical Research Abstracts (European Geosciences Union), 7, 10320
  8. Wimmers, A. and C. Velden, 2004. Enhancing Satellite Imagery through "Morphing" Transitions, Bulletin of American Meteorological Society