International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
Meyer F., 1994, Minimum Spanning Forests for Morphological 
Segmentation, In: Proc.Mathematical Morphology and its 
Applications to Signal Processing, Paris, France, pp.77~84 
Pesaresi, M. and A.Benediktsson, 2001, A New Approach for 
the Morphological Segmentation of High—resolution Satellite 
Imagery, In: IEEE Transactions On Geoscience And Remoting 
Sensing.Vol.39. No.2, pp. 309~320 
Rong, G. O., 2000, Digital Image Process, Tsinghua University 
Press, Beijing, pp. 254-294 
Serra, J. and P. Salembier, 1993, Connected operators and 
pyramids, Proc. SPIE, Vol.1818, pp. 65~76 
Talbot, H, 1996, A Morphological Algorithm for Linear 
Segment Detection. In: Proc. Mathematical Morphology and its 
Applications to Signal Processing, Georgia, USA, pp. 219~226 
Vincent,L., 1996, Opening Trees And Local Granulometries. In: 
Proc. Mathematical Morphology and Its Applications to Signal 
Processing, Georgia , USA, pp. 273-280. 
Vincent L., 1998, Minimal Path Algorithms for the Robust 
Detection of Linear Features in Gray Images. In: 
Proc.Mathematical Morphology and its Applications to Signal 
Processing, Amsterdam, The Netherlands, pp. 33 1-338 
Vogt, R. C., 1994, A Spatially Variant Locally Adaptive, 
Backgrond Normalization Operator. In: Proc. Mathematical 
Morphology and Its Applications to Signal Processing, Paris, 
France, pp. 45-52 
Zhang, Y. J., 1999, mage Segmentation, Science Press, Beijing, 
pp. 1-7 
82