Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot

Journal of Applied Remote Sensing

Volumn 9, Issue 1, 2015, Pages

  Song, Huaibo ^a,b,c   Yang, Chenghai ^b   Zhang, Jian ^b,d   He, Dongjian ^a   Thomasson, John Alex ^c  

^a NORTHWEST A F UNIVERSITY   (China)

^b SOUTHERN PLAINS AGRICULTURAL RESEARCH CENTER   (United States)

^c Texas A M University   (United States)

^d HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

adaptive Otsu's method; airborne multispectral imagery; cotton root rot; fuzzy set theory; iterative self organization data analysis; nonlinear stretching; unsupervised image classification

Indexed keywords

COST EFFECTIVENESS; COTTON; DATA HANDLING; DISEASE CONTROL; FUZZY SET THEORY; FUZZY SETS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INFORMATION ANALYSIS; ITERATIVE METHODS; REMOTE SENSING;

COTTON ROOT ROT; MULTI-SPECTRAL IMAGERY; NON-LINEAR STRETCHING; OTSU'S METHOD; SELF ORGANIZATIONS; UNSUPERVISED IMAGE CLASSIFICATION;

IMAGE ENHANCEMENT;

EID: 84941356716     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.9.096013     Document Type: Article

References (24)

1. E. Abo et al., "Integrated control of cotton root rot disease by mixing fungal biocontrol agents and resistance inducers," Crop Prot. 28(4), 295-301 (2009).
2. C. Yang et al., "Evaluating unsupervised and supervised image classification methods for mapping cotton root rot," Precis. Agric. 16, 201-215 (2014).
3. T. Isakeit et al., "Control of phymatotrichopsis root rot of cotton with flutriafol," in Proc. of the Beltwide Cotton Conf., pp. 200-203 (2010).
4. T. Isakeit et al., "Fungicide management of cotton root rot (Phymatotrichopsis omnivora): 2011 results," in Proc. of the Beltwide Cotton Conf., pp. 235-238 (2012).
5. P. Nixon, D. Escobar, and R. Bowen, "A multispectral false color video imaging system for remote sensing applications," in Proc. of the 11th Biennial Workshop on Color Aerial Photography and Videography in the Plant Sciences and Related Fields, pp. 295-305 (1987).
6. C. Yang, "A high-resolution airborne four-camera imaging system for agricultural remote sensing," Comput. Electron. Agric. 88(0), 13-24 (2012).
7. C. Yang et al., "Monitoring cotton root rot progression within and across growing seasons using remote sensing," in Proc. of Beltwide Cotton Conf., pp. 475-480 (2012).
8. K. Jusoff, "Tagging and mapping of mixed dipterocarp mountain forest at species level using an airborne hyperspectral imager," Int. J. Agric. Syst. 1(2), 144-161 (2015).
9. F. J. Mesas-Carrascosa et al., "Introducing sensor spectral response into the classification process," Int. J. Appl. Earth Obs. Geoinf. 21, 195-204 (2013).
10. Y. Tao, X. Gao, and S. Sorooshian, "Precipitation estimation from remotely sensed data using deep neural networks," in AGU Fall Meeting, 1077 (2014).
11. C. S. Carman and M. B. Merickel, "Supervising ISODATA with an information theoretic stopping rule," Pattern Recognit. 23(1-2), 185-197 (1990).
12. L. A. Zadeh, "Fuzzy sets," Inf. Control 8(3), 338-353 (1965).
13. G. A. Papakostas, A. G. Hatzimichailidis, and V. G. Kaburlasos, "Distance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view," Pattern Recognit. Lett. 34(14), 1609-1622 (2013).
14. C. Chu et al., "A complete pattern recognition approach under Atanassovs intuitionistic fuzzy sets," Knowl. Based Syst. 66, 36-45 (2014).
15. R. Slowinski, Fuzzy Sets in Decision Analysis, Operations Research and Statistics, Kluwer Academic Publishers, Dordrecht (1998).
16. X. Liu, "An improved image enhancement algorithm based on fuzzy set," Phys. Procedia 33, 790-797 (2012).
17. Y. Peng et al., "RASL: robust alignment by sparse and low-rank decomposition for linearly correlated images," IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2233-2246 (2012).
18. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing Using MATLAB, Pearson Education India, New York City (2004).
19. Z.-u. Rahman, D. J. Jobson, and G. Woodell, "Multi-scale retinex for color image enhancement," in Int, Conf. on Image Processing, pp. 1003-1006 (1996).
20. P. C. Freeny et al., "Hepatic helical CT: effect of reduction of iodine dose of intravenous contrast material on hepatic contrast enhancement," Radiology 197(1), 89-93 (1995).
21. S. N. Anfinsen, A. P. Doulgeris, and T. Eltoft, "Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery," IEEE Trans. Geosci. Remote Sensing 47(11), 3795-3809 (2009).
22. P. Charbonnier et al., "Deterministic edge-preserving regularization in computed imaging," IEEE Trans. Image Process. 6(2), 298-311 (1997).
23. N. Venkateswarlu and P. Raju, "Fast ISODATA clustering algorithms," Pattern Recognit. 25(3), 335-342 (1992).
24. N. Otsu, "A threshold selection method from gray-level histograms," Automatica 11(285-296), 23-27 (1975).