Classification of urban land cover based on expert systems, object models and texture

Computers, Environment and Urban Systems

Volumn 21, Issue 3-4, 1997, Pages 291-302

  Moller Jensen, Lasse ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COOCCURRENCE MATRIX VALUES; URBAN LAND COVER;

COMPUTER SIMULATION; DIGITAL SIGNAL PROCESSING; EXPERT SYSTEMS; IMAGING SYSTEMS; OBJECT RECOGNITION; REMOTE SENSING; SATELLITES;

URBAN PLANNING;

EXPERT SYSTEM; LAND COVER; LANDCOVER MAPPING; MAPPING; REMOTE SENSING; SATELLITE IMAGERY; URBAN AREA; URBAN MONITORING;

EID: 0031131647     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0198-9715(97)01004-1     Document Type: Article

References (18)

1. Anderson, J. R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper 964.
2. Carlson, G. E., & Ebel, E. J. (1995). Co-occurrence matrices for small region texture measurement and comparison. International Journal of Remote Sensing, 16(8), 1417-1424.
3. Conners, R. W., Trivedi, M. M., & Harlow, C. A. (1984). Segmentation of a high-resolution urban scene using texture operators. Computer Vision, Graphics, and Image Processing, 25, 273-310.
4. Goodenough, D. G., Robson, M. A., & Fung, K. B. (1989). Expert systems and environmental change -information extraction from remote sensing data. IGARSS '89 12. Canadian Symposium on Remote Sensing. New York: IEEE/IGARSS.
5. Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural features for image classification. IEEE Transactions on Systems, Man Cybernetics, SMC-3, 610-621.
6. Haralick, R. M. (1979). Statistical and structural approaches to texture. Proc of the IEEE, 67(5), 786-804.
7. Hendrix, G. G. (1979). Encoding knowledge in partitioned networks. In N. V. Findler (Ed.), Associative Networks - The Representation and Use of Knowledge in Computers. New York: Associated Press.
8. Matsuyama, T. (1989). Expert systems for image processing: Knowledge-based composition of image analysis processes. Computer Vision, Graphics and Image Processing, 48(1), 22-49.
9. Mackworth, A. K. (1989). Cooperative systems for perceptual tasks in a remote sensing environment. IGARSS '89 12. Canadian Symposium on Remote Sensing. New York: IEEE/IGARSS.
10. Moller-Jensen, L. (1990). Knowledge-based classification of an urban area using texture and context information in Landsat-TM imagery. Photogrammetric Engineering and Remote Sensing, 56(6), 899-904.
11. Raghavsamy, V., Balji, K., Gautam, N. C., & Rao, D. P. (1992). Madras: Fighting the pressure on environmental resources. Sistema Terra - Remote Sensing and the Earth. 2. Editori Laterza.
12. Ringland, G. A., & Duce, D. A. (Eds). (1988). Approaches to knowledge representation - an introduction. Research Studies Press.
13. Schowengerdt, R. A., & Wang, H. (1989). A general purpose expert system for image processing. Photogrammetric Engineering and Remote Sensing, 55(9), 1277-1284.
14. United Nations (1992). Agenda 21 - chap 40: Information for decision-making, UNCED Rio de Janeiro, June 3-14, 1992.
15. Van Gool, L., Dewaele, P., & Oosterlinck, A. (1984). Survey. Texture analysis anno 1983. Computer Vision, Graphics and Image Processing, 29, 336-357.
16. Wang, L., & He, D. C. (1990). A new statistical approach for texture analysis. Photogrammetric Engineering and Remote Sensing, 56(1), 61-66.
17. Welch, R. (1982). Spatial resolution requirements for urban studies. International Journal of Remote Sensing, 3(2), 139-146.
18. Wharton, S. W. (1987). A spectral-knowledge based approach for urban land-cover discrimination. IEEE Transactions on Geoscience and Remote Sensing, GE-25(3), 272-282.