Analysis of High Resolution Panchromatic Satellite Images, Based on GPGPU Programming-Reference-Cited by-同舟云学术

Analysis of High Resolution Panchromatic Satellite Images, Based on GPGPU Programming

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 2nd International Conference on Sensors, Signal and Image Processing - SSIP 2019
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Author:

Aiquipa Wilver Auccahuasi¹,del Carpio Jorge¹,Garcia Jorge¹,Benites Raul¹,Grados Juan¹,Flores Edward²

Affiliation:

1. Universidad Nacional del Callao, Callao, Perú

2. Instituto Peruano de Investigación en Ingenieria Avanzada, Lima, Perú

Publisher

ACM Press

Reference10 articles.

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2. Aguilera, F. J. E., Aceves, J. M. S., Argüelles, S. V. T., Gomez, E. A. M., & Martinez, G. B. (2018). Utilization of GPU-CUDA in Digital Image Processing. Scientific and Technological Culture, (66).

3. Pacheco, C., Valle, H. D., Delrieux, C., & Bianchi, G. S. (2014, October). Intelligent processing of satellite images. In XVI Workshop of Researchers in Computer Sciences.

4. Garea, A. S., Heras, D. B., & Argüello, F. (2016). Classification of remote sensing images using ELM kernel and morphological profiles in GPU. Jornadas Sarteco, 81--89.

5. Ochoa Zambrano, J. S. (2018). Comparison of the computational cost of the OTSU segmentation algorithm in satellite images using parallelization strategies with CUDA (Doctoral dissertation, ETSI_Sistemas_Infor).

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