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Summary of Proposal MTH2705

TitleStereo-Radargrammetry Mapping of TerraSAR-X Spotlight Data
Investigator yf, yang - central south university, geoscience college
Team Member
Doctor ya, yang - central south university, School of Geosciences and Info-Physics
Doctor bing, xu - Central south university, School of Info-Physics and Surveying Engineering
professor jianjun, zhu - central south university, School of Info-Physics and Surveying Engineering
Master Degree Candid yushan, zhou - central south university, Dep. of Geomatics, School of Geosicence and Info-Phys
Summary

TerraSAR-Xcan acquire image data in various resolutions down to a range of about 1m. Moreover,the sensor can operate at various imaging beams and thus acquire image data atdifferent off-nadir viewing angles. These circumstances led to a stimulation ofthe traditional stereo-mapping approach, as TerraSAR-X images pairs became availablein high resolution and in various geometric dispositions. Radargrammetry is amethod to obtain a digital surface model (DSM) from two or more syntheticaperture radar (SAR) images acquired from the same look direction but withdifferent incidence angels covering the same area on Earth. It corresponds tophotogrammetry or stereophotogrammetry, althoughthe SAR imagery is acquired in slant range geometry. Homologous points areidentified in the two images , and height differences between homologous pointscan be calculated from their parallaxes. Although InSAR is a relatively new andpowerful technology for topographic mapping, Due to existence of large amountsof vegetation, InSAR decorrelation is very serious. Stereo-radargrammetrytechnique don’t need phase information, so it can be used to generate 3-D DSMin low coherence area. Based on these, stereo-mapping techniques were appliedto the TerraSAR-X images in this project.


The main objective of the project: study thestereo-radargrammetry mapping method to improve the mapping accuracy.This project solve several key problems related stereo-adargramemtrytechnique .


The study is mainly funded by :(1)“China West Mapping Using InSAR Technology”; (2) National Science Foundation of China.

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