Delineating Urban Functional Zones Using U-Net Deep Learning: Case Study of Kuancheng District, Changchun, China
Scientific functional zone planning is the key to achieving long-term development goals for cities. The rapid development of remote sensing technology allows for the identification of urban functional zones, which is important since they serve as basic spatial units for urban planning and functionin...
Guardado en:
Autores principales: | Yuewen Yang, Dongyan Wang, Zhuoran Yan, Shuwen Zhang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/913d461866ad4b7384ae17a095756c78 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images
por: Gang Zhang, et al.
Publicado: (2021) -
Mange Mites of Goats in Malle District of South Omo Zone, Southern Ethiopia
por: Fesseha H, et al.
Publicado: (2021) -
ChoroidNET: A Dense Dilated U-Net Model for Choroid Layer and Vessel Segmentation in Optical Coherence Tomography Images
por: Tin Tin Khaing, et al.
Publicado: (2021) -
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets
por: Baochun He, et al.
Publicado: (2021) -
A Novel Method for Extracting Time Series Information of Deformation Area of a Single Landslide Based on Improved U-Net Neural Network
por: Bibo Dai, et al.
Publicado: (2021)