NDLI: A GPU based image matching approach for DEM generation using stereo imagery

Content Provider	IEEE Xplore Digital Library
Author	Gupta, A. Naidu, S.D. Srinivasan, T.P. Krishna, B.G.
Copyright Year	2011
Description	Author affiliation: Signal & Image Processing Area, Space Applications Centre (ISRO), Ahmedabad-380015, India (Gupta, A.; Naidu, S.D.; Srinivasan, T.P.; Krishna, B.G.)
Abstract	Derivation of height information from stereo images is a trivial problem in the field of photogrammetry, remote sensing and computer vision. The algorithms for generation of height information from the stereo imagery in the form of Digital Elevation Model (DEM) primarily involve computationally complex image matching procedures. In this paper, we propose a Graphic Processing Units (GPU) based method that significantly improves the computational performance of the hierarchical image matching technique used for DEM generation. We have compared our results against single and multithreaded CPU based implementations. Experiments performed on Chandrayaan-1 Terrain Mapping Camera stereo image datasets using the Nvidia Tesla M2070 GPU show that the new method can perform as fast as 138 times compared to single threaded implementation and 5 times compared to a multithreaded implementation running on a multi CPU system.
Starting Page	1
Ending Page	5
File Size	789856
Page Count	5
File Format	PDF
ISBN	9781457721694
e-ISBN	9781457721687
DOI	10.1109/NUiConE.2011.6153229
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	General-Purpose computation on GPU (GPGPU) Correlation Image matching Instruction sets Hierarchical Image Matching Stereo vision Normalized Cross Correlation (NCC) Acceleration Compute Unified Device Architecture (CUDA) Kernel DEM Graphics processing unit
Content Type	Text
Resource Type	Article

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