The use of multiscale texture in image classification for lithologic mapping;加入多尺度图像纹理的岩性分类

Yanshi Xuebao/Acta Petrologica Sinica

Volumn 24, Issue 6, 2008, Pages 1425-1430

  Ma, DeFeng ^a   Li, PeiJun ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Lithologic classification; Multiscale; Texture; Variogram

Indexed keywords

EID: 85168638500     PISSN: 10000569     EISSN: 20958927     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Arb area-Hernandez F and Chiea-Olmo M. 1999. Evaluation of geostatistieal measures of radiometric spatial variability for lithologic discrimination in Landsat TM images. Photogrammetric Engineering and Remote Sensing, 65(6): 705-771
2. Berberoglu S, Lloyd CD and Atkinson PM et al. 2000. The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. Computers & Geosciences, 26(4); 385-396
3. Chen J and Wang AJ. 2007. The pilot study on petrochemistry components mapping with ASTER thermal Infrared remote sensing data. Journal of Remote Sensing, 11 (4);601-608 (in Chinese with English Abstract)
4. Cong LJ, Cen K, Zhu S and Cong LM. 2007. Study on the method of alteration information extraction by using ASTER data; Taking Zhulazhaga gold deposit of Inner Mongolia as an example. Journal of Henan Polytechnic University, 26 (6); 652-658, 663 (in Chinese with English Abstract)
5. Chica-Olmo M and Arbarca-Hernandez F. 2000. Computing geostatistieal image texture for remotely sensed data classification. Computers & Geosciences, 26(4); 373-383
6. Coburn CA and Roberts ACB. 2004. A multiscale texture analysis procedure for improved forest stand classification. International Journal of Remote Sensing, 25(20):4287-4308
7. Fu BH, Zheng GD, Yoshiki Ninomiya, Wang CY and Sun GQ. 2007. Mapping hydrocarbon-induced mineralogical alterations in the northern Tian Shan using ASTER multispectral data. Terra Nova, 19; 225-231
8. Fu BH. 1996. Study and recent advances of remote sensing petrology. Advance in Earth Sciences, 11 (3); 252-258 (in Chinese with English abstract)
9. Franklin SE, Wulder MA and Lavingne MB. 1996. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis. Computers & Geosciences, 22(6);665-673
10. Gong P. 1994. Reducing boundary effects in a kernel-based classifier. International Journal of Remote Sensing, 15(5); 1131-1139
11. Huang YD, Li PJ and Li ZX. 2003. The application of geostatistieal image texture to remote sensing lithological classification. Remote Sensing for Land & Resources, 57 (3); 45-49 (in Chinese with English abstract)
12. Lark RM. 1996. Geostatistieal description of texture on an aerial photograph for discriminating classes of land cover. International Journal of Remote Sensing, 17(11); 2115-2133
13. Li PJ. 2004. Lithological discrimination using ASTER image and geostatistieal texture. Journal of Mineralogy & Petrology, 24 (3); 116-120 (in Chinese with English abstract)
14. Li PJ, Li ZX and Moon WM. 2001. Lithological discrimination of Altun area in northwest China using Landsat TM data and geostatistieal textural information. Geosciences Journal, 5(4); 293-300
15. Li PJ, Long XY and Liu L. 2007. Ophiolite mapping using ASTER data; A case study of Derni ophiolite complex. Acta Petrologica Sinica, 23 (5); 1175-1180 (in Chinese with English abstract)
16. Lothar H. 1999. Support vector machines for land usage classification in landsat TM imagery. Proc. of IEEE International Geoscience and Remote Sensing Symposium, 348-350
17. Mather PM, Tso B and Koch M. 1998. An evaluation of combining spectral and textural information for lithological classification. International Journal of Remote Sensing, 19; 587-604
18. Matheron G. 1971. The theory of regionalized variables and its applications. Les Cahiers du Centre de Morphologie Mathematique de Fontaineleau, Ecole des Mines de Paris, Fascicule 5, Fontainebleau, 211
19. Miranda FP, Fonseca LEN and Carr JR. 1998. Semivariogram textural classification of JERS-1 (Fuyo-1) SAR data obtained over a flooded area of the Amazon rainforest. International Journal of Remote Sensing, 19: 549-556
20. Ramstein G and Raffy M. 1989. Analysis of the structure of radiometric remotely-sensed images. International Journal of Remote Sensing, 10 (6): 1049-1073
21. Rowan LC and Mars JC. 2003. Lithologic mapping in the Mountain Pass, California area using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Remote Sensing of Environment, 84: 350-366
22. Schetselaar EM, Chung CJF and Kim KE. 2000. Integration of Landsat TM, Gamma-Ray, magnetic, and field data to discriminate lithological units in vegetated granite-gneiss terrain. Remote Sensing of Environment, 71; 89-105
23. Song CY, Li PJ and Yang FJ. 2006. The application of multiscale image texture to the detection of urban expansion. Remote Sensing for Land & Resources. 69(3); 37-42(in Chinese with English abstract)
24. Tso B and Mather PM. 2001. Classification methods for remotely sensed data. London; Taylor & Francis, 332
25. Vapnik VN. 1995. The Nature of Statistical Learning Theory. New York; Spring-Verlag,294-302
26. Yoshiki Ninomiya, Fu BH and Thomas JCudahy. 2005. Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared " radiance at sensor" data. Remote Sensing of Environment,99;127-139
27. Yan SS, Zhang B,Zhao YC, Zheng LF,Tong QX and Yang K. 2003. Summarizing the VIS-NIR spectra of minerals and rocks. Remote Sensing Technology and Application,18(4); 191-201 (in Chinese with English abstract)