Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2007, Vol. 22 Issue (6): 727-732    DOI: 10.11873/j.issn.1004-0323.2007.6.727
    
ECW Compress Technique in the Compression and Distribution Application of  High Resolution Remote Sensed Image
QIU Yu-bao1,2 ,HU Guang-dao2, CHE Xue-wen3, GUO Yi4
1.Institute of Remote Sensing Applications, State Key Laboratory of Remote Sensing Sciences, Beijing 100101, China; 2.China University of Geosciences (Wuhan), Institute of Mathematic Geology and Remote Sensing, Wuhan 430074, China;3.Department of Land & Resources ofYunnan Province, Information Center,Kunming 650011, China; 4. China University ofGeosciences (Wuhan),Jiangcheng College,GIS & Engineering Applicationlaboratory,Wuhan 430200, China
Download:  PDF (887KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

During the digital processing of remote sensed image, a high resolution city mosaic image posses a big data volume,sometimes, which is tens of Gigabytes.It is a waste of time and web resource for such a huge volume,ECW compression technique as a wavelet-based and open technology provides the most advanced technique for huge volume image data. A new framework for the image distribution has been put forward using SDK DEVELOP KIT provided by Ermapper Co. and combined with the Image Web Server.

Received:  10 May 2007      Published:  03 September 2010
TP 751  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
QIU Yu-Bao
HU Guang-Dao
CHE Hua-Wen
GUO Die

Cite this article: 

QIU Yu-Bao, HU Guang-Dao, CHE Hua-Wen, GUO Die. ECW Compress Technique in the Compression and Distribution Application of  High Resolution Remote Sensed Image. Remote Sensing Technology and Application, 2007, 22(6): 727-732.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2007.6.727     OR     http://www.rsta.ac.cn/EN/Y2007/V22/I6/727

[1] Peteri R, Ranchin T. Urban Street Mapping Using. Quickbird and Ikonos Images[A].Proceedings IGARSS’03[C].IEEE,2003,3:1721-1723.
[2] Holland D A,Boyd D S, Marshall P.Updating Topographic Mapping in Great Britain Using Imagery from High-resolution Satellite Sensors[J]. ISPRS Journal of Photogrammetry& Remote Sensing, 2006, 60: 212-223.
[3] Wu H C , Shih T Y, Liu J K. The Comparison of Three Wavelet Based Image Compression Implementations [J].Journal of Photogrammetry and Remote Sensing, 2005, 3(10):305-314.
[4] Ueffing C,Merzhausen. Wavelet Based ECW Image Compression[Z].Heidelberg,2001.
[5] 钟余越,李凤亭,葛成辉.小波变换在遥感图像压缩中的应用研究[J].中国图像图形学报,1998,3(10):849-853.
[6] 万幼川,宋杨.基于高分辨率遥感影像分类的地图更新方法[J].武汉大学学报(信息科学版),2005,30(2):105-109.
[7] 张荣.刘政凯,詹凯.基于小波变换的多光谱图像压缩方法[J].遥感学报, 2000,4(2):100-105.
[8] Zhang L Q,Yang C G,Liu D L,etal. A Web-mapping System for Real-time Visualization of the Global Terrain[J].Computers & Geosciences 2005,5(31):343-352.
[9] Shapiro J. Embedded Image Coding Using Zero Trees of Wavelets Coefficients[J].IEEE Transactions on Signal Processing.1993,41(12):3445-3462.
[10] 乔士东,罗建书.卫星图像零树编码及其效果分析[J].中国空间科学技术[J].2000,5:65-70.
[11] 李京伟,赵有松.基于小波理论的遥感压缩软件的比较[J].测绘科学,2002,27(12):39-41.
[12] ER Mapper公司.Using and Distributing ECW V2.0 Wavelet Compressed Imagery-ECW技术白皮书[S].2001.

No Suggested Reading articles found!