Erratum: The comparison of PCA and discrete rough set for feature extraction of remote sensing image classification - A case study on rice classification, Taiwan (Computational Geosciences (2008) vol. 12 (1-14) 10.1007/s10596-007-9057-7);The comparison of PCA and discrete rough set for feature extraction of remote sensing image classification - A case study on rice classification, Taiwan

Computational Geosciences

Volumn 12, Issue 1, 2008, Pages 1-14

  Lei, T C ^a   Wan, S ^b   Chou, T Y ^a  

^a FENG CHIA UNIVERSITY   (Taiwan)

^b LING TUNG UNIVERSITY   (Taiwan)

Author keywords

Discrete rough set; Image classification; Knowledge rules; PCA

Indexed keywords

FEATURE EXTRACTION; GRAIN (AGRICULTURAL PRODUCT); IMAGE CLASSIFICATION; KNOWLEDGE BASED SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; ROUGH SET THEORY;

ACCURACY ASSESSMENT; DISCRETE CHOICE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; TEXTURE; UNCERTAINTY ANALYSIS;

ASIA; EURASIA; FAR EAST; TAIWAN;

EID: 39549119328     PISSN: 14200597     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10596-008-9097-7     Document Type: Erratum

References (42)

1. Anys, H., He, D.C.: Evaluation of textural and multipolarization radar features for crop classification. IEEE Trans. Geosci. Remote Sens. 33(5), 1170-1181 (1995)
2. Beynon, M.J., Buchanan, K.L.: An illustration of variable precision rough set theory: The gender classification of the European barn swallow (Hirundo rustica). Bull. Math. Biol. 65, 835-858 (2003)
3. Carr, J.R., Miranda, F.P.: The semivariogram in comparison to the co-occurrence matrix for classification of image texture. IEEE Trans. Geosci. Remote Sens. 36(6), 1945-1952 (1998)
4. Cheriyadat, A., Bruce, L.M.: Why principle component analysis is not an appropriate feature extraction method for hyperspectral. In: Proceedings of the IEEE Conference on Geoscience and Remote Sensing (IGARSS), 3420-3422 (2003)
5. Chica-Olmo, M., Abarca-Hernández, F.: Computing geostatistical image texture for remotely sensed data classification. Comput. Geosci. 26(4), 373-383 (2000)
6. Chou, T.Y., Lei, T.C., Wan, S., Yang, L.S.: Spatial knowledge database as applied to the detection of change in urban land use. Int. J. Remote Sens. 26(14), 3047-3068 (2005)
7. Clarke, K.C.: Computation of the fractal dimension of topographic surfaces using the triangular prism surface area. Comput. Geosci. 12(5), 713-722 (1986)
8. Curran, P.J.: The semivariogram in remote sensing: An introduction. Remote Sens. Environ. 24, 493-507 (1988)
9. Diuk-wasser, M.A., Bagayoko, M., Sogoba, N., Dolo, G., Toure, M.B., Traore, S.F., Taylor, C.E.: Mapping rice field anopheline breeding habitats in 10 Mali, West Africa, using landsat ETM+ sensor data. Int. J. Remote Sens. 25(2), 359-376 (2004)
10. ERDAS.: ERDAS IMAGINE Field guide. Atlanta, Georgia, USA (1997)
11. Fang, H.L., Liang, S.L.: Biophysical characterization and management effects on Semiarid Rangeland observed from landsat ETM+ Data. IEEE Trans. Geosci. Remote Sens. 43, 125-133 (2005)
12. Goh, C., Law, R.: Incorporating the rough sets theory into travel demand analysis. Tour. Manage. 24, 511-517 (2003)
13. Hall, D.L.: Mathematical Techniques in Multisensor Data Dusion. Artech House (1992)
14. Haralick, R.M., Shaunmmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. 67, 786-804 (1973)
15. Jaggi, S., Ouattrochi, D.A., Lam, N.S. -N.: Implementation and operation of three fractal measurement algorithms for analysis of remote sensing data. Comput. Geosci. 19, 745-767 (1993)
16. Kosaka, N., Miyazaki, S., Inoue, U.: Vegetable green coverage estimation from an airborne hyperspectral image. IEEE Conference on Geoscience and Remote Sensing Symposium (GRASS) 4(4), 1959-1961 (2002)
17. Lam, N.S.-N.: Description and measurement of Landsat TM images, using fractals. Photogramm. Eng. Remote Sensing. 156, 187-195 (1990)
18. Lee, S., Vachtsevanos, G.: An application of rough set theory to defect detection of automotive glass. Math. Comput. Simul. 60, 225-231 (2002)
19. Marceau, D.J., Howarth, P.J., Dubois, J.M., Gratton, D.J.: Evaluation of the grey-level co-occurrence matrix method for land-cover classification using SPOT image. IEEE Trans. Geosci. Remote Sens. 28(4), 513-519 (1990)
20. Miranda, F.P., Macdonald, J.A., Carr, J.R.: Application of the Semivariogram Textural Classifier (STC) for vegetation discrimination using SIR-B data of Borneo. Int. J. Remote Sens. 13(12), 2349-2354 (1992)
21. Mundt, J.T., Glenn, N.F., Weber, K.T., Prather, T.S., Lass, L.W., Pettingill, J.: Discrimination of hoary cress and determination of its detection limits via hyperspectral image processing and accuracy assessment techniques. Remote Sens. Environ. 96, 509-517 (2005)
22. Nguyen, H.S., Skowron, A.: Quantization of real values attributes, rough set and Boolean reasoning approaches. In: Proceeding of the Second Joint Conference on Information Sciences, Oct. 1995, Wrightsville Beach, NC, pp. 34-37 (1995)
23. Nguyen, S.H., Nguyen, H.S.: Pattern extraction from data. Fundam. Inform. 34(1-2), 129-144 (1998a)
24. Nguyen, S.H., Nguyen, H.S.: Pattern Extraction from Data, pp 1346-1353. In: Proceedings of the Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU-98, July 1998, Paris, France (1998b)
25. Odlare, M., Svensson, K., Pell, M.: Near infrared reflectance spectroscopy for assessment of spatial soil variation in an agricultural field. Geoderma 126, 193-202 (2005)
26. Pawlak, Z.: Rough sets. Int. J. Inf. Comput. Sci. 11, 341-356 (1982)
27. Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers (1991)
28. RSER 2.2 User's Guide.: RSER 2.2 User's Guide, Warsaw University, http://logic.mimuw.edu.pl/~rses (2005)
29. Seelan, S.K., Laguette, Casady, G.M., Seielatad, G.A.: Remote sensing application for precision agriculture: A learning community approach. Remote Sens. Environ. 88, 157-169 (2003)
30. Sellers, P.J.: Canopy reflectance, photosynthesis, and transpiration. Int. J. Remote Sens. 6, 1335-1372 (1985)
31. Shao, Y., Fan, X., Liu, H., Xiao, J., Ross, S., Brisco, B., Brown, R., Staples, G.: Rice monitoring and production estimation using multitemporal RADARSAT. Remote Sens. Environ. 76, 310-325 (2001)
32. Sinha, D., Laplante, P.: A rough set-based approach to handling spatial uncertainty in binary images. Eng. Appl. Artif. Intell. 17, 97-110 (2004)
33. Sun, Z.L., Huang, D.S., Cheung, Y.M., Liu, J., Huang, G.B.: Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images. IEEE Geosci. Remote Sens. Soc. Newsl. 2(2), 108-112 (2005)
34. Swiniarski, R.W., Skowron, A.: Rough set methods in feature selection and recognition. Pattern Recogn. Lett. 24, 833-849 (2003)
35. Tian, Y., Wu, B., Xu, W., Huang, J., Xu, W.: An effective field method of crop proportion survey in China based on GVG integrated system. In: Proceedings of the IEEE Conference on Geoscience and Remote Sensing Symposium (IGARSS), 6(6), 4028-4030 (2004)
36. Tian, Y., Guo, P., Lyu, M.R.: Comparative studies on feature extraction methods for multispectral remote sensing image classification. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2, 1275-1279 (2005)
37. Walaczak, B., Massart, D.L.: Rough sets theory. Chemometr. Intell. Lab. Syst. 47, 1-16 (1999)
38. Wang, C., Menenti, M., Li, Z.L.: Modified principal component analysis (MPCA) for feature selection of hyperspectral imagery. In: Proceedings of the IEEE Conference Geoscience and Remote Sensing Symposium (IGARSS), 6(6), 3781-3783 (2003)
39. Woodcock, C.E., Strahler, A.H., Jupp, D.L.B.: The use of variogram in remote sensing. Remote Sens. Environ. 25, 323-348 (1988)
40. Xiao, X., Boles, S., Liu, J., Zhuang, D., Frolking, S., Li, C., Salas, W., Moore, B.: Mapping paddy rice agriculture in Southern China using multi-temporal MODIS images. Remote Sens. Environ. 95, 480-492 (2005)
41. Yu, S., Backer, S.D., Scheunders, P.: Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for high-dimensional remote sensing data. In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 3(3), 1912-1916 (2000)
42. Woodcock, C.E., Strahler, A.H.: Characterizing spatial patterns in remotely sensed data. 17th Int. Symp. on Remote Sensing of Environment, Ann Arbor, MI, 839-852 (1983)