Browse > Article

Performance Analysis for Compression of Satellite Image Data using the Wavelet Transform  

이주원 (경상대학교 토목공학과)
김영일 (경상대학교 토목공학과)
이건기 (경상대학교 토목공학과)
안기원 (경상대학교 토목공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.6, no.6, 2002 , pp. 980-985 More about this Journal
Abstract
In this paper, we analyzed satellite image with a high resolution compression performance. We need much time in a fast processing on vast satellite image pixel data. On compressing and decompressing, we should keep the information about road, building, forest, etc. In conclusion, we did analyze and compare the performance of compression and decompression for JPEG and WSQ(wavelet scalar quantization) method. As a result, we knew that WSQ was more efficient than JPEG.
Keywords
JPEG; Wavelet; satellite image; image compression;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Lillesand, T.M., and Kiefer, R.W., Remote Sensing and Image Interpretation, Wiley, 1994
2 Holm, M., Parmes, E. &Vuorela, A. Implementation and experiences of a nationwide automatic satellite image registration system. European Symposium on Satellite Remote Sensing, Rome, Italy, September 1994, SPIE Vol 2315
3 조우석, 다목적 실용위성을 이용한 지형도 제작의 가능성 분석, 한국측지학회지, 제16권, 제2호, 1998
4 Gonzalez, Digital Image Processing, Addison Wesley, 1993
5 Gilbert Strang and Truong Nguyen, Wavelets and Filter Banks, Wellesley Cambridge Press, 1996