Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation

International Journal of Remote Sensing

Volumn 27, Issue 14, 2006, Pages 3035-3040

  Espindola, G M ^a   Camara, G ^a   Reis, I A ^a   Bins, L S ^a   Monteiro, A M ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; IMAGE SEGMENTATION;

PARAMETER SELECTION; SPATIAL AUTOCORRELATION;

REMOTE SENSING;

ALGORITHM; AUTOCORRELATION; IMAGE ANALYSIS; PARAMETERIZATION; REMOTE SENSING;

EID: 33747105856     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600617194     Document Type: Article

References (11)

1. Baatz, M. and Schape, A.(2000) Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation. In Angewandte Geographische Informationsverarbeitung. (pp. 12-23). Heidelberg: Wichmann-Verlag.
2. Bins, L. and Fonseca, L. and Erthal, G.(1996) Satellite imagery segmentation: A region growing approach. In VIII Brazilian Symposium on Remote Sensing. (pp. 677-680).
3. Câmara, G. and Souza, R. and Freitas, U. and Garrido, J. (1996) SPRING: Integrating remote sensing and GIS with object-oriented data modelling. Computers and Graphics, 15, pp. 13-22.
4. Fotheringham, A. S. and Brunsdon, C. and Charlton, M.(2000). In Quantitative Geography: Perspectives on Spatial Analysis. London: Sage.
5. Levine, M. D. and Nazif, A. M. (1985) Dynamic measurement of computer generated image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7, pp. 155-164.
6. Liu, J. and Yang, Y.-H. (1994) Multiresolution color image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, pp. 689-700.
7. Meinel, G. and Neubert, M. (2004) A comparison of segmentation programs for high resolution remote sensing data. International Archives of Photogrammetry and Remote Sensing, 35, pp. 1097-1105.
8. Pekkarinen, A. (2002) A method for the segmentation of very high spatial resolution images of forested landscapes. International Journal of Remote Sensing, 23, pp. 2817-2836.
9. Tilton, J. and Lawrence, W.(2000) Interactive analysis of hierarchical image segmentation. In International Geoscience and Remote Sensing Symposium IGARSS-2000, IEEE Press, New York. (pp. 733-73).
10. Wulder, M. and Boots, B. (1998) Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistic. International Journal of Remote Sensing, 19, pp. 2223-2231.
11. Zhang, Y. J. (1996) A survey on evaluation methods for image segmentation. Pattern Recognition, 29, pp. 1335-1346.