Advanced search
Publication Cover
International Journal of Remote Sensing Volume 35, 2014 - Issue 1
Submit an article Journal homepage
298
Views
1
CrossRef citations to date
0
Altmetric
Articles

Study of change detection based on Poisson’s mixture model and component-maximum threshold algorithm

G. WangSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai200240, ChinaCorrespondence[email protected]
Pages 5-15 | Received 15 Oct 2012, Accepted 14 May 2013, Published online: 19 Nov 2013

References

  • Bruzzone, L., and D. Prieto. 2000. “Automatic Analysis of the Difference Image for Unsupervised Change Detection.” IEEE Transsactions Geoscience and Remote Sensing 38 (3): 1171–1182.
  • Celik, T. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.” IEEE Geoscience and Remote Sensing Letters 6 (4): 772–776.
  • Celik, T. 2011. “Bayesian Change Detection Based on Spatial Sampling and Gaussian Mixture Model.” Pattern Recognition Letters 32 (12): 1635–1642.
  • Figueiredo, M. A. T., and A. K. Jain. 2002. “Unsupervised Learning of Finite Mixture Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (3): 381–396.
  • Hame, T., I. Heiler, and J. San Miguel-Ayanz. 1998. “An Unsupervised Change Detection and Recognition System for Forestry.” International Journal of Remote Sensing 19 (6): 1079–1099.
  • Jakubauskas, M. E., K. P. Lulla, and P. W. Mausel. 1990. “Assessment of Vegetation Change in a Fire-Altered Landscape.” Photogrammetric Engineering and Remote Sensing 56 (3): 371–377.
  • Leprince, S., 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 Transactions on Geoscience and Remote Sensing 45: 1529–1558.
  • NASA. 2013. Landsat TM data of Alaska. http://change.gsfc.nasa.gov/alaska.html
  • Pernkopf, F., and D. Bouchaffra. 2005. “Genetic-Based EM Algorithm for Learning Gaussian Mixture Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (8): 1344–1348.
  • Redner, R. A., and H. F. Walker. 1984. “Mixture Densities, Maximum Likelihood and the EM Algorithm.” SIAM Review 26 (2): 195–239.
  • Ridd, M. K., and J. J. Liu. 1998. “A Comparison of Four Algorithms for Change Detection in an Urban Environment.” Remote Sensing of Environment 63 (2): 95–100.
  • Torma, M., P. Harma, and E. Jarvenpaa. 2008. “Change Detection Using Spatial Data Problems and Challenges.” 2007 IEEE International Geoscience and Remote Sensing Symposium, 1947–1950, Barcelona, July 23–28, 2007.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.