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JOURNALS // Computer Optics // Archive

Computer Optics, 2016 Volume 40, Issue 5, Pages 721–728 (Mi co293)

This article is cited in 11 papers

IMAGE PROCESSING, PATTERN RECOGNITION

The hybrid CPU/GPU implementation of the computational procedure for digital terrain models generation from satellite images

V. A. Fursovab, E. V. Goshinab, A. P. Kotovab

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Abstract: In this paper a procedure of building a digital terrain model (DTM) from the satellite images is researched. The procedure is based on the authors' previously developed algorithms of fast image matching for building disparity maps implemented on GPUs (Graphics Processing Units). In this paper we propose a computational procedure for constructing a DTM from the satellite stereo images. Experimental studies have shown that while this procedure constructs a DTM that may be less accurate than the one achieved with the use of the ENVI software, it offers a significantly shorter time of processing.

Keywords: digital image processing, stereo images, 3D-scene reconstruction, image matching, CUDA-technology, ENVI.

Received: 17.07.2016
Accepted: 31.10.2016

Language: English

DOI: 10.18287/2412-6179-2016-40-5-721-728



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