@ARTICLE{Luong_Chinh_Ke_Least_2001,
 author={Luong, Chinh Ke},
 volume={vol. 50},
 number={No 1},
 journal={Geodesy and Cartography},
 pages={45-56},
 howpublished={online},
 year={2001},
 publisher={Commitee on Geodesy PAS},
 abstract={One of the major tasks in digital photogrammetry is image matching technique for finding corresponding points in a stereopair. Area-based matching has been acknowledged as being more precise than feature-based matching. Least squares multi-point matching (LSMM) is one of the Global Image Matching (GIM) which was developed from the Least-squares Single point matching (LSSM) so called area-based matching. LSMM method has been more reliable than LSSM one because the relationship between the different neighbouring points is considered in simultaneous computation. LSMM is just for the simultaneous determination of the horizontal parallaxes at the node points of the regular rectangular nets for the purpose of the establishing the DEM. This paper undertakes a trial of improving the accuracy of LSMM by consideration of the correlated pixels and terrain height differences.},
 type={Article},
 title={Least squares multi-point matching for DEM with consideration of correlated neighbouring pixels and terrain height differences},
 URL={http://journals.pan.pl/Content/121603/PDF-MASTER/6_GK_TOM_L_ZESZYT_1_2001_Chinh_Ke_Wielopunktowe.pdf},
}