Methods for fuzzy classification and accuracy assessment of historical aerial photographs for vegetation change analyses. Part II: Practical application

International Journal of Remote Sensing

Volumn 27, Issue 9, 2006, Pages 1825-1838

  Okeke, F ^a   Karnieli, A ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGING TECHNIQUES; PHOTOGRAPHY; PLANTS (BOTANY);

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPHS; FUZZY CLASSIFICATION; IMAGE CLASSIFICATION; TOPOGRAPHY;

ECOLOGY;

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPHY; ECOLOGY; ERROR ANALYSIS; FUZZY MATHEMATICS; IMAGE ANALYSIS; REMOTE SENSING; TOPOGRAPHY; VEGETATION DYNAMICS;

EID: 33747108764     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500315691     Document Type: Article

References (11)

1. Barnes, W. J. (1989) A case history of vegetation changes on Meridian Island of West-Central Wisconsin USA. Biological Conservation, 49, pp. 1-16.
2. Binaghi, E. and Brivio, P. A. and Ghezzi, P. and Rampini, A. (1999) A fuzzy set-based accuracy assessment of soft classification. Pattern Recognition Letters, 20, pp. 935-948.
3. Carmel, Y. and Kadmon, R. (1998) Computerized classification of Mediterranean vegetation using panchromatic aerial photographs. Journal of Vegetation Science, 9, pp. 445-454.
4. Foody, G. M. (1992) On the compensation of chance agreement in image classification accuracy assessment. Photogrammetric Engineering and Remote Sensing, 58, pp. 1459-1460.
5. Hudak, A. T. and Wessman, C. A. (1998) Textural analysis of historical aerial photography to characterize woody plant encroachment in South African savanna. Remote Sensing of Environment, 66, pp. 317-330.
6. Israel, S. T. and Helfert, M. R. and Duggin, M. J.(1997) Image registration issues for change detection. In Proceedings of GeoComputing '97 & SIRC' 97. (pp. 15-20). University of Otago, New Zealand, 26-29 August 1997 (Geocomputation)
7. Kadmon, R. and Harari-Kremer, R. (1999) Studying long-term vegetation dynamics using digital processing of historical aerial photographs. Remote Sensing of Environment, 68, pp. 164-174.
8. Lillesand, T. M. and Kiefer, R. W.(2000). In Remote Sensing and Image Interpretation. New York: John Wiley and Sons.
9. Mas, J. F. (1999) Monitoring land-cover changes: A comparison of change detection techniques. International Journal of Remote Sensing, 20, pp. 139-152.
10. Turner, I. M. and Wong, Y. K. and Chew, P. T. and Ibrahim, A. (1996) Rapid assessment of tropical rain forest successional status using aerial photographs. Biological Conservation, 77, pp. 177-178.
11. Zar, J. H.(1996). In Biostatistical Analysis. London: Prentice-Hall International.