Pixel-based change detection methods

SpringerBriefs in Computer Science

Volumn 0, Issue 9781447142546, 2012, Pages 7-21

  İlsever, Murat ^a   Ünsalan, Cem ^a  

^a YEDITEPE UNIVERSITY   (Turkey)

Author keywords

Automated thresholding; Background formation; Change vector analysis (CVA); Fuzzy logic; Fuzzy xor; Image differencing; Image rationing; Image regression; Kapur s algorithm; Least squares; Median filtering; Otsu s method; Percentile; Pixel based change detection

Indexed keywords

FUZZY LOGIC; MEDIAN FILTERS; PIXELS;

AUTOMATED THRESHOLDING; BACKGROUND FORMATION; CHANGE DETECTION; CHANGE VECTOR ANALYSIS; FUZZY XOR; IMAGE DIFFERENCING; IMAGE RATIONING; IMAGE REGRESSION; LEAST SQUARE; MEDIAN FILTERING; PERCENTILE; S-ALGORITHMS; S-METHOD;

LEAST SQUARES APPROXIMATIONS;

EID: 85010845450     PISSN: 21915768     EISSN: 21915776     Source Type: Book Series    
DOI: 10.1007/978-1-4471-4255-3_2     Document Type: Chapter

References (11)

1. Singh, A.: Review article: Digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 10(6), 989–1003 (1989)
2. Rosin, P.L., Ioannidis, E.: Evaluation of global image thresholding for change detection. Pattern Recognition Lett. 24(14), 2345–2356 (2003)
3. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
4. Kapur, J.N., Sahoo, P.K., Wong, A.K.C.: A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 29(3), 273–285 (1985)
5. Devore, J.: Probability and Statistics for Engineering and Sciences. 6 edn. Thompson (2004)
6. Griffiths, G.H.: Monitoring urban change from Landsat TM and Spot satellite imagery by image differencing. In: Proceedings of the 1988 International Geoscience and Remote Sensing Symposium, vol. 1, (1988)
7. Saksa, T., Uuttera, J., Kolstrom, T., Lehikoinen, M., Pekkarinen, A., Sarvi, V.: Clear-cut detection in boreal forest aided by remote sensing. Scandinavian J. For. Res. 18(6), 537–546 (2003)
8. Lu, D., Mausel, P., Batistella, M., Moran, E.: Land-cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study. Int. J. Remote Sens. 26(1), 101–114 (2005)
9. Malila, W.A.: Change vector analysis: An approach for detecting forest changes with Landsat. In: LARS Symposia, p. 385 (1980)
10. Johnson, R.D., Kasischke, E.S.: Change vector analysis: A technique for the multispectral monitoring of land cover and condition. Int. J. Remote Sens. 19(3), 411–426 (1998)
11. Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic Theory and Applications. Prentice Hall, New York (1995)