Abstract
With the rapid development of remote sensing technology, hyperspectral remote sensing image as foundation data containing abundant sensitive information has been widely applied in many fields, such as agriculture, resources, ocean, city, and environment, etc. A hybrid domain encryption method is proposed for securely transmitting and storing hyperspectral remote sensing images. Considering the spatial and spectral characteristics, the hyperspectral image is encrypted in hybrid domain (spatial and spectral). Spatial domain encryption is done by using the composite chaos sequences. Then, the spectral sequence is scrambled by the cipher sequence for protecting the spectral feature of the hyperspectral image. Finally, the spectral and spatial information is mixed by a one-to-one mapping. Experimental results on NASA datasets show that our method can effectively protect both spectral and spatial feature of hyperspectral image compared with the other methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Smith, R.B.: Introduction to Hyperspectral Imaging, pp. 1–24. Microimages (2006)
Zhang, E., Zhang, X., Yang, S.: Improving hyperspectral image classification using spectral information divergence. IEEE Geosci. Remote Sens. Lett. 11(1), 249–253 (2014)
Veganzones, M., Tochon, G., Dalla-Mura, M., Plaza, A., Chanussot, J.: Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation. IEEE Trans. Image Process. 23(8), 3574–3589 (2014)
Chen, G., Mao, Y., Chui, C.K.: A symmetric image encryption scheme based on 3D chaotic cat maps. Chaos, Solitons & Fractals 2(3), 749–776 (2004)
Cao, W., Zhou, Y., Chen, C.P., Xia, L.: Medical image encryption using edge maps. Sign. Process. 132, 96–109 (2017)
Zhang, S., Gao, T.: An image encryption scheme based on DNA coding and permutation of hyper-image. Multimed. Tools Appl. 75(24), 17157–17170 (2016)
Ayoup, A.M., Hussein, A.H., Attia, M.A.: Efficient selective image encryption. Multimed. Tools Appl. 75(24), 17171–17186 (2016)
Yi, X., Tan, C.H., Siew, C.K.: A new block cipher based on chaotic tent maps. IEEE Trans. Circ. Syst. I Fundam. Theory Appl. 49(12), 1826–1829 (2002)
Usama, M., Khan, M.K., Alghathbar, K., Lee, C.: Chaos-based secure satellite imagery cryptosystem. Comput. Math Appl. 60(2), 326–337 (2010)
Huang, X., Ye, G., Chai, H., Xie, O.: Compression and encryption for remote sensing image using chaotic system. Secur. Commun. Netw. 8(18), 3659–3666 (2015)
Yin, L., Zhao, J., Duan, Y.: Encryption scheme for remote sensing images based on EZW and chaos. In: The 9th International Conference for Young Computer Scientists, Hunan, China, pp. 1601–1605 (2008)
Muhaya, F.T.B.: Chaotic and AES cryptosystem for satellite imagery. Telecommun. Syst. 52(2), 573–581 (2013)
Liu, Z., Xu, L., Liu, T., Chen, H., Li, P., Lin, C., Liu, S.: Color image encryption by using Arnold transform and color-blend operation in discrete cosine transform domains. Opt. Commun. 284(1), 123–128 (2011)
Zhou, N., Wang, Y., Gong, L., He, H., Wu, J.: Novel single-channel color image encryption algorithm based on chaos and fractional Fourier transform. Opt. Commun. 284(12), 2789–2796 (2011)
Tan, R.C., Lei, T., Zhao, Q.M., Gong, L.H., Zhou, Z.H.: Quantum color image encryption algorithm based on a hyper-chaotic system and quantum Fourier transform. Int. J. Theor. Phys. 55(12), 5368–5384 (2016)
Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423, 623–656 (1948)
Shannon, C.E.: Coding theorems for a discrete source with a fidelity criterion. IRE Nat. Convention Rec. 7, 142–163 (1959)
Acknowledgments
The work in this paper is supported by the National Natural Science Foundation of China (No. 61370189, No. 61531006, No. 61372149, and No. 61471013), the Beijing Natural Science Foundation (No. 4163071), the Science and Technology Development Program of Beijing Education Committee (No. KM201510005004), the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions (No. CIT&TCD20150311), Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Geng, W., Zhang, J., Chen, L., Li, J., Zhuo, L. (2018). Hybrid Domain Encryption Method of Hyperspectral Remote Sensing Image. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10736. Springer, Cham. https://doi.org/10.1007/978-3-319-77383-4_87
Download citation
DOI: https://doi.org/10.1007/978-3-319-77383-4_87
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77382-7
Online ISBN: 978-3-319-77383-4
eBook Packages: Computer ScienceComputer Science (R0)