Urban objects detection from C-band synthetic aperture radar (SAR) satellite images through simulating filter properties
Abstract Satellite-based remote sensing has a key role in the monitoring earth features, but due to flaws like cloud penetration capability and selective duration for remote sensing in traditional remote sensing methods, now the attention has shifted towards the use of alternative methods such as mi...
Guardado en:
Autor principal: | Deepak Kumar |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f73929e3e5bb43089c2f857f6c40dd5d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Environmental Strain on Beach Environments Retrieved and Monitored by Spaceborne Synthetic Aperture Radar
por: Valeria Di Biase, et al.
Publicado: (2021) -
Synthetic aperture radar image change detection based on convolutional‐curvelet neural network and partial graph‐cut
por: Meng Jia, et al.
Publicado: (2021) -
Application of clustering algorithm in complex landscape farmland synthetic aperture radar image segmentation
por: Chen Zhuoran, et al.
Publicado: (2021) -
Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images
por: Gang Zhang, et al.
Publicado: (2021) -
Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence
por: Qiuxiang Tao, et al.
Publicado: (2021)