Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling
Morocho-Cayamcela, Manuel Eugenio (Escuela Superior Politécnica del Litoral)
Data: |
2021 |
Resum: |
This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications. We propose to use computer vision and image analysis to segment a geographical terrain in order to employ a specific propagation model in each segment of the link. Our computer vision architecture achieved a segmentation accuracy of 89. 41%, 86. 47%, and 87. 37% in the urban, suburban, and rural classes, respectively. Results indicate that estimating propagation loss with our multi-environment model reduced the root mean square deviation (RMSD) with respect to two publicly available tracing datasets. |
Drets: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. |
Llengua: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Matèria: |
Computer vision ;
Scene understanding ;
Pattern recognition ;
Separation and segmentation ;
Applications ;
Machine vision ;
Other applications ;
Image analysis and processing |
Publicat a: |
ELCVIA. Electronic letters on computer vision and image analysis, Vol. 19 Núm. 2 (2020) , p. 17-21 (Special Issue on Recent PhD Thesis Dissemination (2020)) , ISSN 1577-5097 |
Adreça original: https://elcvia.cvc.uab.es/article/view/v19-n2-Morocho-cayamcela
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/378893
DOI: 10.5565/rev/elcvia.1337
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Registre creat el 2021-01-14, darrera modificació el 2024-05-21