Abstract
The fusion of multi-resolution remote sensing images has become a hot issue for enhancing the original images. In comparison with low- and middle-resolution remote sensing imagery, high spatial resolution images have competitive advantages in identifying fine spatial features of land cover features. In this study, an IKONOS image of Hefei, Anhui Province, was used to compare the fusion effects based on seven typical transform methods including the HSV (Hue-Saturation-Value), Brovey, Wavelet Transform (WT), Principal Component (PC) transform, Gram-Schmidt, Pan Sharpening, and Color Normalized (CN) transform. The spatial texture, spectral feature and classification accuracy were used to evaluate the fusion effects. The results showed that PC transform had a optimal performance; WT transform had better ability to keep spectral information; Pan Sharpening provided superior structure information and classification effect; Gramm-Schmidt transform had better spatial and spectral information but a general classification effect; CN transform maintained a good spectral information; and Brovey transform was the worst algorithm. In addition, the classification was also performed using the seven fused images and the accuracy was 85.03 %, 84.20 %, 90.26 %, 88.18 %, 85.48 %, 88.18 %, 85.48 %, respectively.
This is a preview of subscription content, log in via an institution to check access.
References
Hu, Y., Xi, X.H., Wang, C., Xiao, Y.: Study on fusion methods and quality assessment of Pléiades data. Remote Sens. Technol. Appl. 29, 476–481 (2014)
He, H.P., He, G.J.: Comparison of image fusion algorithms for IKONOS high spatial resolution satellite image. Sci. Technol. Rev. 27, 33–37 (2009)
Zhang, S., Zhao, C.S., Yang, G., Chen, Y.T., Zhao, J.M.: Study on algorithm of multi-spectral image and high resolution image. Remote Sens. Inf. 5, 56–60 (2007)
Wang, Z.J., Ziou, D., Armenakis, C., Li, D.R., Li, Q.Q.: A comparative analysis of image fusion methods. IEEE Trans. Geo. Remote Sens. 43, 1391–1402 (2005)
Bie, Q., He, L., Zhao, C.Y.: Study on vegetation information extraction based on object-oriented image analysis. Remote Sens. Technol. Appl. 29, 164–171 (2014)
Dong, G.J., Zhang, Y.S., Dai, C.G.: Comparison of fusion algorithms of high resolution imagery. Opt. Technol. 32, 827–830 (2007)
Yang, Z.X., Xu, J., He, X.F.: A novel method for merging Geoeye-1 panchromatic and multispectral images. Opto-Electron. Eng. 38, 120–126 (2011)
Kim, Yong-Hyun, Kim, Yong-II, Kim, Youn-Soo: Fusion techniques comparison of GeoEye-1 imagery. Korean J. Remote Sens. 25, 517–529 (2009)
Weng, Y.L., Tian, Q.J., Hui, F.M.: Research on the fusion effects of IKONOS high-resolution remote sensing image. J. Southeast. Univ. (Nat. Sci. Ed.) 34, 274–277 (2004)
Tan, Y.S., Shen, Z.Q., Jia, C.Y., Wang, X.H., Deng, J.S.: The study on pixel-level data fusion for remote sensing images of medium and high resolution. Remote Sens. Technol. Appl. 22, 536–542 (2007)
Deng, S.B.: ENVI Remote Sensing Image Processing Method. Sci. Publishing House, 118 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liang, D., Yang, F., Zhao, J., Zuo, Y., Teng, L. (2016). Comparison and Fusion of Multispectral and Panchromatic IKONOS Images Using Different Algorithms. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_52
Download citation
DOI: https://doi.org/10.1007/978-3-662-49155-3_52
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49154-6
Online ISBN: 978-3-662-49155-3
eBook Packages: Computer ScienceComputer Science (R0)