Comparison of gray-level reduction and different texture spectrum encoding methods for land-use classification using a panchromatic Ikonos image

Photogrammetric Engineering and Remote Sensing

Volumn 69, Issue 5, 2003, Pages 529-536

  Xu, Bing ^a   Gong, Peng ^a,b   Seto, Edmund ^a   Spear, Robert ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; IMAGE ANALYSIS; LAND USE; REMOTE SENSING; TEXTURES;

TEXTURE SPECTRUM (TS);

PHOTOGRAMMETRY;

ACCURACY ASSESSMENT; IMAGE PROCESSING; LAND CLASSIFICATION; PANCHROMATIC IMAGE; REMOTE SENSING; SATELLITE IMAGERY; TEXTURE;

EID: 0037800422     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.69.5.529     Document Type: Review

References (15)

1. Cushnie, J.L., and P. Atkinson, 1985. Effect of spatial filtering on scene noise and boundary detail in TM imagery, Photogrammetric Engineering & Remote Sensing, 51(9):1183-1193.
2. Gong, P., 1990. Improving Accuracies in Land-Use Classification with High Spatial Resolution Satellite Data: A Contextual Classification Approach, PhD dissertation, University of Waterloo, Ontario, Canada, 181 p.
3. _, 1994. Reducing boundary effects in a kernel-based classifier, International Journal of Remote Sensing, 15(5):1131-1139.
4. Gong, P., and P.J. Howarth, 1990. The use of structural information for improving land-cover classification accuracies at the rural-urban fringe, Photogrammetric Engineering & Remote Sensing, 56(1):67-73.
5. _, 1992. Frequency-based contextual classification and gray-level vector reduction for land-use identification, Photogrammetric Engineering & Remote Sensing, 58(4):423-437.
6. Gong, P., D.J. Marceau, and P.J. Howarth, 1992. A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data, Remote Sensing of Environment, 40:137-151.
7. Gonzalez, R.C., and P. Wintz, 1987. Digital Image Processing, Second Edition, Addison-Wesley Publising Company, Reading, Massachusetts, 503 p.
8. Haralick, R.M, 1979. Statistical and structural approaches to texture, Proceedings of IEEE, 67(5):786-803.
9. Isaaks, E.H., and R.M. Srivastava, 1989, An Introduction to Applied Geostatistics, Oxford University Press, New York, N.Y, 561 p.
10. Jensen, J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice Hall, Englewood Cliffs, New Jersey, 318 p.
11. Narayanan R.M., T.S. Sankaravadivelu, and S.E. Reichenbach, 2000. Dependence of image information content on gray-scale resolution, Proceedings of IGARSS, 24-28 July, Honolulu, Hawaii, 1:153-155.
12. Richards, J.A., and X. Jia, 1999. Remote Sensing Digital Image Analysis: An Introduction, Springer-Verlag, Berlin, Germany, 363 p.
13. Ryherd, S., and C. Woodcock, 1996. Combining spectral and texture data in the segmentation of remotely sensed images, Photogrammetric Engineering & Remote Sensing, 62(2):181-194.
14. Space Imaging, 1999. Space Imaging Catalogue of Products and Services, p. 14, www.spaceimaging.com (last accessed 25 October 2002).
15. Wang, L., and D.C. He, 1990. A new statistical approach for texture analysis, Photogrammetric Engineering & Remote Sensing, 56(1):61-66.