Research of the wavelet based ECW remote sensing image compression technology

Lan Zhang; Xingfa Gu; Tao Yu; Yang Dong; Xinli Hu; Hua Xu

doi:10.1117/12.748817

14 November 2007 Research of the wavelet based ECW remote sensing image compression technology

Lan Zhang, Xingfa Gu, Tao Yu, Yang Dong, Xinli Hu, Hua Xu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901G (2007) https://doi.org/10.1117/12.748817
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper mainly study the wavelet based ECW remote sensing image compression technology. Comparing with the tradition compression technology JPEG and new compression technology JPEG2000 witch based on wavelet we can find that when compress quite large remote sensing image the ER Mapper Compressed Wavelet (ECW) can has significant advantages. The way how to use the ECW SDK was also discussed and prove that it's also the best and faster way to compress China-Brazil Earth Resource Satellite (CBERS) image.

Citation Download Citation

Lan Zhang, Xingfa Gu, Tao Yu, Yang Dong, Xinli Hu, and Hua Xu "Research of the wavelet based ECW remote sensing image compression technology", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901G (14 November 2007); https://doi.org/10.1117/12.748817

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available