Methods for automatic extraction of regularity patterns and its application to object-oriented image classification

PIA 2007 - Photogrammetric Image Analysis, Proceedings

Volumn , Issue , 2007, Pages 117-121

  Ruiz, Luis A ^a   Recio, Jorge A ^a   Herniosilla, Txomin ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Fourier analysis; Image analysis; Object oriented classification; Regularity patterns; Semivariogram hough transform

Indexed keywords

AUTOMATIC EXTRACTION; DETECTION AND QUANTIFICATIONS; IMAGE PROCESSING - METHODS; OBJECT ORIENTED CLASSIFICATION; REGULARITY PATTERNS; RURAL ENVIRONMENT; SEMIVARIOGRAMS; STRUCTURAL ASPECTS;

DATA MINING; FOURIER ANALYSIS; HOUGH TRANSFORMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND USE; MAPS; PHOTOGRAMMETRY;

FEATURE EXTRACTION;

EID: 84864277113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Carr, J.R., Miranda, F.P., 1998. The semivariogram in comparison to the co-occurrence matrix for classification of image texture. IEEE Transactions on Geoscience and Remote Sensing, 36 (6), 1945-1952.
2. Chica-Olmo, M., Abarca-Hernandez, F., 2000. Computing geostatistical image texture for remotely sensed data classification. Computers & Geosciences, 26, 373-383.
3. th EARSEL Symposium: Global Developments in Environmental Earth Observation from Space (ISBN: 9059660420): pp. 11-18, 2005.
4. Gonzalez, R.C, Woods, R.E., 1993. Digital Image Processing. Addison-Wesley Publishing.
5. Haralick, R.M., K Shanmugam and Dinstein, 1973. Texture features for image classification. IEEE Trans. on Systems, Man. and Cibernetics. SMC-3 : pp. 610-622.
6. Maillard, P., 2003. Comparing texture analysis methods through classification. Photogrammetric Engineering & Remote Sensing, 69 (4), 357-367.
7. Miranda, F.P., Fonseca, L.E.N., Carr, J.R., 1998. Semivariogram textural classification of JERS-1 SAR data obtained over a flooded area of the Amazon rainforest. International Journal of Remote Sensing, 19 (3), 549-556.
8. Nelson, T., Boots, B. and Wulder, A., 2005. Techniques for accuracy assessment of tree locations extracted from remotely sensed imagery. Journal of Environmental Management 74, pp. 265-271.
9. Wulder, M., Niemann, K. O. And Goodenough, G. D. 2000. Local maximum filtering for the extraction of tree locations and basal area from high spatial resolution imagery. Remote Sensing of Environment, 73:103-114.
10. Pouliot, D.A., King, D.J., Bell, F.W., 2002. Automated tree crown detection and delineation in high- resolution digital camera imagery of coniferous forest regeneration. Remote Sensing of Environment, 82(2- 3):322-334.
11. Quinlan, J.R. 1996, Improved use of continuous attributes in C4.5 Journal of Artificial Intelligence Research 4, 77-90.
12. Recio, J.A., Ruiz, L.A., Fdez-Sarria, A., Hermosilla, T., 2006. Integration of multiple feature extraction and object oriented classification of aerial images for map updating. II Recent Advances in Quantitative Remote Sensing. Torrent (Valencia), pp 391-396.
13. Ruiz, L.A, Fdez-Sarria, A., Recio, J.A., 2004. Texture feature extraction for classification of remote sensing data using wavelet decomposition: A comparative study. International Archives of Photogrammetry and Remote Sensing. Vol. XXXV, part B, pp. 1109-1115.