CDUNet: Cloud Detection UNet for Remote Sensing Imagery
Cloud detection is a key step in the preprocessing of optical satellite remote sensing images. In the existing literature, cloud detection methods are roughly divided into threshold methods and deep-learning methods. Most of the traditional threshold methods are based on the spectral characteristics...
Guardado en:
Autores principales: | Kai Hu, Dongsheng Zhang, Min Xia |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d68877e101ad47b69f9c0d2ef3f6d258 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Pole-Like Objects Segmentation and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes
por: Ziyang Wang, et al.
Publicado: (2021) -
Properties of Cirrus Clouds over the European Arctic (Ny-Ålesund, Svalbard)
por: Konstantina Nakoudi, et al.
Publicado: (2021) -
SAP-Net: A Simple and Robust 3D Point Cloud Registration Network Based on Local Shape Features
por: Jinlong Li, et al.
Publicado: (2021) -
Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM
por: Steffen Muench, et al.
Publicado: (2020) -
Intrusion detection for network based cloud computing by custom RC-NN and optimization
por: T. Thilagam, et al.
Publicado: (2021)