Full text: Technical Commission VII (B7)

    
  
   
   
   
  
      
     
   
    
    
   
   
   
   
      
   
   
   
    
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
Figure 2. (a) — (g) are correlations between texture measures in different windows. (The corresponding sequence is Mean, Variance, 
Homogeneity, Contrast, Dissimilarity, Entropy, and Second Moment.). (h) The standard deviation of the textural measures in different windows. 
  
  
(e) (2) 
Figure 3. (a) ~ (g) are fusion results with different textural measures by PCA. (The corresponding textural measures sequence is Mean, 
Variance, Homogeneity, Contrast, Dissimilarity, Entropy, and Second Moment.). 
6. REFERENCES [6] Lee K., Jeon S.H., and Kwon B.D., “Urban feature characterization 
using high-resolution satellite imagery: texture analysis approach”, CD 
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Model-based fusion approach to segmentation of SAR and optical [7] D. Amarsaikhan, H.H. Blotevogel, J.L. van Genderen, M. Ganzorig, R. 
images”, IEEE International Geoscience and Remote Sensing Gantuya, and B. Nergui, “Fusing high-resolution SAR and optical 
Symposium, IV, pp. 802-805, 2008. imagery for improved urban land cover study and classification”, 
[2] Gintautas Palubinskas, Peter Reinartz and Richard Bamler, “Image International Journal of Image and Data Fusion, Vol. 1, No. 1, pp. 83-97, 
acquisition geometry analysis for the fusion of optical and radar remote 2010. 
sensing data", International Journal of Image and Data Fusion, Vol. 1, [8] J. B. K. Kiema, “Texture analysis and data fusion in the extraction of 
No. 3, pp. 271-282, 2010. topographic objects from satellite imagery”. International Journal of 
[3] Anne H. Schistad Solberg and Anil K. Jain, “Texture Fusion and Feature Remote Sensing, vol. 23, no. 4, pp. 767—776, 2002. 
Selection Applied to SAR Imagery", IEEE Transactions on Geoscience [9] Pohl, C. and van Genderen, J.L., “Multisensor image fusion in remote 
and Remote Sensing, Vol. 35, No. 2, pp. 475-479, 1997 sensing: concepts, methods and applications". International Journal of 
[4] Fawwaz T. Ulaby, F. Kouyate, B. Brisco, and T. H. Lee Williams, Remote Sensing, Vol. 19, No. 5, pp. 823-854, 1998. 
"Textural Infornation in SAR Images”, IEEE Transactions on 7, ACKNOWLEDGEMENT 
Geoscience and Remote Sensing, Vol. GE-24, No. 2, 1986. 
[5] Robert M. Haralick, K. Shanmugam, and ITS’HAK Dinstein, “Textural This research was supported by 973 Program (2010CB951503), 
Features for Image Classification”, IEEE Transactions on Systems, Man, Natural Science Foundation of China (40501047), and the Priority 
and Cybernetics, Vol. SMC-3, No. 6, pp. 610-621, 1973. Academic Program Development of Jiangsu Higher Education 
Institutions. 
 
	        
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