Application of the Proposed Thresholding Method for Rice Paddy Field Detection with Radarsat-2 SAR Imagery Data

1. Sahoo, P.K., Soltani, S., Wong, A.K.C.: A survey of thresholding techniques. Comput. Vis. Graph. Image Process. 41, 233–260 (1988)

   Article  Google Scholar 

2. Doyle, W.: Operation useful for similarity-invariant pattern recognition. J. Assoc. Comput. 9, 259–267 (1962)

   Article  Google Scholar 

3. Prewitt, J.M.S., Mendelsohn, M.L.: The analysis of cell images. Ann. New York Acad. Sci. 128, 1035–1053 (1966) (1983)

   Google Scholar 

4. Pun, T.: A new method for gray-level picture thresholding using the entropy of the histogram. Signal Process. 2, 223–237 (1980)

   Article  Google Scholar 

5. 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, 273–285 (1985)

   Article  Google Scholar 

6. Johannsen, G., Bille, J.: A threshold selection method using information measures. In: Proceedings, 6th International Conference on Pattern Recognition, Munich, Germany, pp. 140–143 (1982)

   Google Scholar 

7. Tsai, W.: Moment-preserving thresholding: a new approach. Comput. Vis. Graph. Image Process. 29, 377–393 (1985)

   Article  Google Scholar 

8. Mason, D., Lauder, I.J., Rutoritz, D., Spowart, G.: Measurement of C-bands in human chromosomes. Comput. Biol. Med. 5, 179–201 (1975)

   Article  Google Scholar 

9. Ahuja, N., Rosenfeld, A.: A note on the use of second-order gray-level statistics for threshold selection. IEEE Trans. Syst. Man Cybernet SMC-8, 895–899 (1978)

   Google Scholar 

10. Kirby, R.L., Rosenfeld, A.: A note on the use of (gray level, local average gray level) space as an aid in thresholding selection. IEEE Trans. Syst. Man Cybernet SMC-9, 860–864 (1979)

    Google Scholar 

11. Deravi, F., Pal, S.K.: Gray level thresholding using second-order statistics. Pattern Recogn. Lett. 1, 417–422 (1983)

    Article  Google Scholar 

12. Southwell, R.: Relaxation Methods in Engineering Science. A Treatise on Approximate Computation. Oxford University Press, London (1940)

    MATH  Google Scholar 

13. Boukharouba, S., Rebordao, J.M., Wendel, P.L.: An amplitude segmentation method based on the distribution function of an image. Comput. Vis. Graph. Image Process. 29, 47–59 (1985)

    Article  Google Scholar 

14. Wang, S., Haralick, R.M.: Automatic multi-threshold selection. Comput. Vis. Graph. Image Process. 25, 46–67 (1984)

    Article  Google Scholar 

15. Kohler, R.: A segmentation system based on thresholding. Comput. Graph. Image Process. 15, 319–338 (1981)

    Article  Google Scholar 

16. Otsu, N.: an automatic threshold selection method based on discriminant and least squares criteria. IEICE Trans. Fundam. Electron. Jpn. D 63(4), 349–356 (1980)

    Google Scholar 

17. Ots, N.: A thresholding selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. SMC-9(1), 62–66 (1979)

    Article  Google Scholar 

18. Kittler, J., Illingworth, J.: Minimum error thresholding. Pattern Recogn. 19(1), 41–47 (1986)

    Article  Google Scholar 

19. Kittler, J.: Fast branch and bound algorithms for optimal feature selection. IEEE Trans. Pattern Anal. Mach. Intell. 26(7), 900–912 (2003)

    Google Scholar 

20. Sekita, I., Kurita, T., Otsu, N., Abdelmalek, N.N.: Thresholding methods considering the quantization error of an image. IEICE Trans. Fundam. Electron. J78-D-2(12), 1806–1812, (1995)

    Google Scholar 

21. Kurita, T., Otsu, N., Abdelmalek, N.: Maximum likelihood thresholding based on population mixture models. Pattern Recogn. 25(10), 1231–1240 (1992)

    Article  Google Scholar 

22. Katoh, M., Tsushima, T., Kanno, M.: Monitoring of Ishikari River model forest for sustainable forest management, Grasp and monitor of forest area using satellite data. Hoppou Ringyo. 51(11), 271–274 (1999)

    Google Scholar 

23. Takeuchi, H., Konishi, T., Suga, Y., Oguro, Y.: Rice-planted area estimation in early stage using space-borne SAR data. J. Jpn. Soc. Photogram. 39(4), 25–30 (2000)

    Google Scholar 

24. Takeuchi, W., Yasuoka, Y.: Mapping of fractional coverage of paddy fields over East Asia using MODIS data. J. Jpn. Soc. Photogram. 43(6), 20–33 (2005)

    Google Scholar 

25. Sutaryanto, A., Kunitake, M., Sugio, S., Deguchi, C.: Calculation of percent imperviousness by using satellite data and application to runoff analysis. J. Agric. Eng. Soc. Jpn 63(5), 23–28 (1995)

    Google Scholar 

26. Azuma, K., Arai, K., Ishitsuka, N.: A thresholding method to estimate quantities of each class. Int. J. Appl. Sci. 3(2), 1–11 (2012)

    Google Scholar 

27. Arai, K.: Thresholding based method for rain, cloud detection with NOAA/AVHRR data by means of Jacobi iteration method. Int. J. Adv. Res. Artif. Intell. 5(6), 21–27 (2016)

    Article  Google Scholar 

28. Arai, K., Goodenough, D.G., Iisaka, J., Fuang, K., Robson, M.: Consideration on an optimum threshold for maximum likelihood classification. In: Proceedings of the 10th Canadian Symposium on Remote Sensing, pp. 1–8 (1986)

    Google Scholar 

29. Amaya, K.: Introduction to Optimization Techniques for Engineering. Mathematical Engineering Publishing Co., Ltd., Tokyo (2008)

    Google Scholar 

30. Arai, K., Liang, X.: Method for estimation of refractive index and size distribution of aerosol using direct and diffuse solar irradiance as well as aureole by means of a modified simulated annealing. J. Remote Sens. Soc. Jpn. 23(1), 11–20 (2003)

    Google Scholar 

31. Foody, G.M.: Classification accuracy assessment. IEEE Geosci. Remote Sens. Soc. Newsl. 2011, 8–14 (2011)

    Google Scholar 

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