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In this paper, a new fast detection method on glacier volume changing has been adopted and analyzed to solve shortages of low precision and inefficiency in traditional algorithms. High-precision Digital Elevation Model (DEM) has been used in this method to improve the accuracy of the result. Besides, GCPs are unnecessary in this new method so that it can be widely applied in glacier districts where GCPs are hard to be set. Furthermore, Least squares 3D surface matching method has also been improved in this paper in that blocking computing has been added to strengthen the speed and accuracy of this method. Multitemporal images in Xinjiang Province, china have been used to test the accuracy and efficiency of this proposal method: iterations are 12 and D-values are small. The test results show that this method has the advantages of Least squares 3D surface matching so that it can be widely used to satisfy the speed and accuracy of fast changing detection of Glacier Volume.

Fast glacier volume change detection based on least squares 3D surface matching of DEM