DocumentCode
2715295
Title
Remote Sensing Image Pyramid Model Based on Wavelet Multi-resolution Analysis
Author
Yuwei, Yuan ; Jicheng, Quan ; Jingwen, Wu ; Yu, Liu ; Xiuying, Zhao ; Hongwei, Wang
Author_Institution
Dept. of Specialty, Aviation Univ. of Air Force, Changchun, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
170
Lastpage
173
Abstract
With the rapid development of remote sensing technology and application requirements, the volumes of remote sensing image data become more and more large, which brings management of massive image a big test. An improved construction method of remote sensing image pyramid based on wavelet multi-resolution analysis has been researched. Using the multi-resolution analysis and the theory of wavelet decomposition and reconstruction algorithm, on the base of the general way to construct an image pyramid, wavelet decomposition coefficient from different levels are quantified and coded, then stored in different layers of the image pyramid. It is great significance in effective management for vast amounts of remote sensing image. It can reduce the total amounts of data and the data traffic while browsing, and a better progressive transmission effect has been realized.
Keywords
geophysical image processing; image resolution; remote sensing; wavelet transforms; data traffic; remote sensing image data; remote sensing image pyramid model; remote sensing technology; wavelet decomposition coefficient; wavelet multiresolution analysis; wavelet reconstruction algorithm; Algorithm design and analysis; Remote sensing; Spatial resolution; Wavelet analysis; Wavelet transforms; image pyramid; multi-resolution analysis; remote sensing image; wavelet decomposition and reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.50
Filename
6394289
Link To Document