Sequentially Delineation of Rooftops with Holes from VHR Aerial Images Using a Convolutional Recurrent Neural Network
Semantic and instance segmentation methods are commonly used to build extraction from high-resolution images. The semantic segmentation method involves assigning a class label to each pixel in the image, thus ignoring the geometry of the building rooftop, which results in irregular shapes of the roo...
Guardado en:
Autores principales: | Wei Huang, Zeping Liu, Hong Tang, Jiayi Ge |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/02d214236f074708ab63e707bcb0ead6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
RNN- and CNN-based weed detection for crop improvement: An overview
por: Brahim Jabir, et al.
Publicado: (2021) -
Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework
por: Xiaoyu Sun, et al.
Publicado: (2021) -
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks
por: Michał Bereta
Publicado: (2021) -
Coastal Waste Detection Based on Deep Convolutional Neural Networks
por: Chengjuan Ren, et al.
Publicado: (2021) -
Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment
por: Guangzhi Rong, et al.
Publicado: (2021)