Performance Analysis in the Segmentation of urban asphalted roads in RGB satellite images using K-Means++ and SegNet
The design and manual insertion of new terrestrial roads into geographic databases is a frequent activity in geoprocessing and their demand usually occurs as the most up-to-date satellite imagery of the territory is acquired. Continually, new urban and rural occupations emerge, for which specific v...
Guardado en:
Autores principales: | João Batista Pacheco Junior, Henrique Mariano Costa do Amaral |
---|---|
Formato: | article |
Lenguaje: | EN ES |
Publicado: |
Asociación Española para la Inteligencia Artificial
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/eca5a5268447432db666cde271886d9c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
por: Charly Caredda, et al.
Publicado: (2021) -
Breathing In-Depth: A Parametrization Study on RGB-D Respiration Extraction Methods
por: Jochen Kempfle, et al.
Publicado: (2021) -
AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation
por: Bekhzod Olimov, et al.
Publicado: (2021) -
Distinguishing of different tissue types using K-Means clustering of color segmentation
por: Zinah R. Hussein, et al.
Publicado: (2021) -
Multi-Modal Deep Learning for Weeds Detection in Wheat Field Based on RGB-D Images
por: Ke Xu, et al.
Publicado: (2021)