Image Edge Extraction by Artificial Intelligence Schemes for UAV Autonomous Navigation

Wanessa da Silva, Nandamudi L. Vijaykumar, Sandra A. Sandri, Haroldo F. de Campos Velho, Zoran Sjanic, Elcio H. Shiguemori, Osamu Saotome

Resumo


We present here the application of an image processing strategy for autonomous navigation in order to estimate the position of an Unmanned Aerial Vehicle (UAV) equipped with Synthetic Aperture Radar (SAR) sensors. Patches of the SAR images are compared to georeferenced satellite optical images, by first applying an image edge detection algorithm on all the images, and the UAV position is determined from the correlation matrix obtained from resulting segmented images. The performance of three edge detectors are compared: the Canny approach, an artificial neural network (radial base function), and a fuzzy system.

Palavras-chave


SAR images, UAV autonomous navigation, edge detection, image processing.

Texto completo:

PDF (English)


DOI: https://doi.org/10.5540/03.2020.007.01.0391

Apontamentos

  • Não há apontamentos.


SBMAC - Sociedade de Matemática Aplicada e Computacional
Edifício Medical Center - Rua Maestro João Seppe, nº. 900, 16º. andar - Sala 163 | São Carlos/SP - CEP: 13561-120
 


Normas para publicação | Contato