Research On Epipolar Rectification And Dense Matching Method For Multi-Source High Resolution Remote Sensing Images

The construction of 3-D terrain model using high resolution remote sensing images is an important direction in the field of photogrammetry. Image matching is the core of this process. There are many high-resolution remote sensing satellites orbiting in China, however, sometimes due to technical or environmental restrictions,it is difficult to get the same-source images in the same area. Therefore, multi-source image matching has become a research trend in the field of image matching recently.As the geometric and radiometric deformation of multi-source stereoscopic Images,which makes the multi-source image matching extremely difficult. Different views of ZY-3 images was used to illustrate methods proposed here. In this paper, the deviation of the epipolar error of the ZY-3 multi-source images was carefully studied. On the basis of this, The searching area of matching can be limited to epipolar nearby. Finally a dense matching method based on ZNCC combined with epipolar constraint was tested, whose result was compared with the matching method based on seed pixel,then RFM forward intersection was used to generate ground dense points in a region of Nanjing.The main conclusions of this paper are:(1) In order to make the quality of multi-source images consistent, histogram matching method was used to improve the quality of the bad images, this method can greatly improve the quality and quantity of the extracted tie-points.(2) The algorithm of many points-extract method was tested. SIFT was choosed to extract feature points, then RANSAC was used to eliminate the wrong tie-points,guaranteeing the points are right.(3) In order to improve the efficiency of dense matching method, the calculation of inverse RFM model was studied. The deviation between tie-points and epipolar was also calculated. In the process of our experiment, finding the deviation is correlated with the image type and imaging angle of the research area.(4)The back-view and nadir-view image in Lushan on 4 Nov, 2013 and the multi-source image in Nanjing on 17 Mar and 22 Mar, 2014 was used to test the SIFT based matching method. These extracted tie-points was used to calculate the epipolar error.Finally, the back-view image on 17 Mar, 2014 and 22 Mar, 2014 in Nanjing was used to generate dense ground points based on ZNCC similarity measure...