Detection of Changes in Multi-Temporal Images using Undecimated Discrete Wavelet Transform and Active Contours

G. Hemanth Kumar*, V. Meenakshi**, T. Milindapurna***
*-*** Assistant Professor, Department. of EIE, SreeVidyanikethan Engineering College, Tirupati, Andhrapradesh, India.
Periodicity:April - June'2014
DOI : https://doi.org/10.26634/jip.1.2.2826

Abstract

In this paper, an unsupervised change detection method is proposed for satellite images and optical images. The multitemporal data and two discriminate areas of the land covers are changed between different time instances due to its robustness in opposition to noise. The UDWT is exploited to obtain a multi-resolution representation of the difference image which are taken from two satellite images acquired from the same geographical area but at different time instances. For multi-resolution representation of the difference image, a region-based active contour model is applied, then it is segmented into unchanged and changed regions. The proposed change detection method has been conducted based on the optical images. The extensive model results show that, the proposed change detection method constantly gives a better performance.

Keywords

Change Detection, Difference Image, Active Contours, Environmental Monitoring, Level Sets, Multi-temporal Images, Optical Images, Un-decimated Discrete Wavelet Transform (UDWT)

How to Cite this Article?

Kumar, G.H., Meenakshi, V., and Milindapurna, T. (2014). Detection of Changes in Multi-Temporal Images using Undecimated Discrete Wavelet Transform and Active Contours. i-manager’s Journal on Image Processing, 1(2), 15-21. https://doi.org/10.26634/jip.1.2.2826

References

[1]. M. Torma, P. Harma, and E. Jarvenpaa (2007), “Change detection using spatial data problems and challenges,” in Proc. IEEE Int. Geosci. Remote Sens.Symp., pp. 1947–1950.
[2]. S. Leprince, S. Barbot, F. Ayoub, and J.-P. Avouac (2007), “Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements,” IEEE Trans. Geosci. Remote Sens., Vol. 45, No. 6, pp. 1529–1558.
[3]. C. Shah, Y. Sheng, and L. Smith (2008), “Automated image registration based on pseudoinvariant metrics of dynamic land-surface features,” IEEE Trans. Geosci. Remote Sens., Vol. 46, No. 11, pp. 3908–3916.
[4]. L. Bruzzone and D. Prieto (2000), “Automatic analysis of the difference image for unsupervised change detection,” IEEE Trans. Geosci. Remote Sens., Vol. 38, No. 3, pp. 1171–1182.
[5]. T. Kasetkasem and P. Varshney (2002), “An image change detection algorithm based on Markov random field models,” IEEE Trans. Geosci. Remote Sens., Vol. 40, No. 8, pp. 1815–1823.
[6]. T. Celik (2009), “Unsupervised change detection in satellite images using principal component analysis and k-means clustering,” IEEE Geosci. Remote Sens. Lett., Vol. 6, No. 4, pp. 772–776.
[7]. F. Bovolo and L. Bruzzone (2005), “A detail-preserving scale-driven approach to change detection in multitemporal SAR images,” IEEE Trans. Geosci. Remote Sens., Vol. 43, No. 12, pp. 2963–2972.
[8]. T. Celik and K.-K. Ma, “Unsupervised change detection for satellite images using dual-tree complex wavelet transform,” IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 3, pp. 1199–1210, Mar. 2010.
[9]. T. Celik (2009), “Multiscale change detection in multitemporal satellite images,” IEEE Geosci. Remote Sens. Lett., Vol. 6, No. 4, pp. 820–824.
[10]. T. Chan and L. Vese (2001), “Active contours without edges,” IEEE Trans. Image Process., Vol. 10, No. 2, pp. 266–277.
[11]. Y. Bazi and F. Melgani, “A variational level-set method for unsupervised change detection in remote sensing images,” in Proc. IEEE Int. Conf. Geosci. Remote Sens. Symp., Jul. 2009, Vol. 2, pp. 984–987.
[12]. T. F. Chan, B. Y. Sandberg, and L. A. Vese (2000), “Active contours without edges for vector-valued images,” J. Vis. Commun. Image Represent., Vol. 11, No. 2, pp. 130–141.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.