For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Analysis and Research of Financial Network Security Architecture
p.168
Rate Distortion Model Analysis for H.264/AVC Video Coding
p.172
Research on Web-Oriented Detection and Early-Warning of Evolutional Public Emergencies
p.178
A New Method on Laboratory Evaluation of the Effectiveness of Consolidant Treatments for the Conservation of Historic Stone Buildings and Sculptures
p.184
Study of Relative Radiometric Normalization Based on Multitemporal ASTER Images
p.190
Study on Enterprise Knowledge Management Based on Knowledge Grid
p.195
Medical Image Retrieval Based on Semi-Supervised Learning
p.201
Study on Dynamic Load Balance Method Based on Genetic Algorithm and RBF Neural Network
p.207
Research on Information Resources Management System Based on Domain Ontology
p.211

Study of Relative Radiometric Normalization Based on Multitemporal ASTER Images

Article Preview

Abstract:

Both the reference image and original image are respectively decomposed into low-frequency components and high-frequency components by wavelet transform. Then, count the low-frequency components of the two images by margin calculation and select the PIF points to correct while the high-frequency components remain unchanged. Finally, reconstract the high-frequency components of discorrected original image and low-frequency components of corrected to get the corrected image. The method eliminates the radiation difference resulted from different time periods and save the radiation difference caused by the change of surface features themselves in the original image. The relative radiometric correction achieves a better effect, and can improve the accuracy of remote sensing dynamic monitoring.

You might also be interested in these eBooks
Progress in Measurement and Testing View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

190-194

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.190

Citation:

Cite this paper

Online since:

May 2010

Authors:

Yu Xing, Qi Gang Jiang, Zhu Ping Qiao, Wen Qing Li

Keywords:

Multitemporal ASTER, Pseudo-Invariant Features, Relative Radiometric Normalization, Wavelet Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] L. Bruzzone, P.C. Smits, J.C. Tilton: IEEE Trans. Geosci. Remote Sens. Vol. 41 (2003), pp.2419-2422.

DOI: 10.1109/tgrs.2003.820004

Google Scholar

[2] G.X. Han: Geomatics Spat. Inf. Technol. Vol. 31 (2008), pp.84-89.

Google Scholar

[3] S. Conghe, C.E. Woodcock, K.C. Seto, M.P. Lenney and S.A. Macomber: Remote Sens. Env. Vol. 75 (2001), pp.230-244.

Google Scholar

[4] Y.S. Zhang, X.Z. Feng, and C.H. Zhou: Acta Geod. Cartogr. Sin. Vol. 35 (2006), pp.122-127.

Google Scholar

[5] D. Yong, P.M. Teillet, and C. Josef: Remote Sens. Env. Vol. 82 (2002), pp.123-134.

Google Scholar

[6] H. Olsson: Remote Sens. Env. Vol. 46 (1993), pp.89-102.

Google Scholar

[7] H. Olsson: Int. J. Remote Sens. Vol. 16 (1995), pp.81-96.

Google Scholar

[8] P.S. Chavez, D.J. Mackinnon: PE & RS Vol. 60 (1994), pp.571-583.

Google Scholar

[9] L.X. Ding, B. Zhou, and R.C. Wang: J. Zhejiang Univ. Vol. 31 (2005), pp.269-276.

Google Scholar

[10] X.J. Yang, C.P. Lo: PE & RS Vol. 66 (2000), pp.967-980.

Google Scholar

[11] P.Q. Zhang, X.C. Yu, Z. Liu, J.S. Li, and G. Wan: J. Remote Sens. Vol. 10 (2006), pp.339-344.

Google Scholar

[12] P.R. Coppin, M.E. Bauer: IEEE Trans. Geosci. Remote Sens. Vol. 32 (1994), pp.918-927.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.