The hybrid CPU/GPU implementation of the computational procedure for digital terrain models generation from satellite images
Автор: Fursov Vladimir Alekseyevich, Goshin Yegor Vyacheslavovich, Kotov Anton Petrovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Распознавание образов
Статья в выпуске: 5 т.40, 2016 года.
Бесплатный доступ
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.
Digital image processing, stereo images, 3d-scene reconstruction, image matching, cuda-technology, envi
Короткий адрес: https://sciup.org/14059611
IDR: 14059611 | DOI: 10.18287/2412-6179-2016-40-5-721-728
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