Cargando…
Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks
Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Because of the excellent performance of CNN, more and more methods based on CNN are applied to polarimetric synthetic aperture radar (PolSAR) image classification. Most CNN-based PolSAR image class...
Autores principales: | Wang, Lei, Xu, Xin, Dong, Hao, Gui, Rong, Pu, Fangling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876540/ https://www.ncbi.nlm.nih.gov/pubmed/29510499 http://dx.doi.org/10.3390/s18030769 |
Ejemplares similares
-
Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information
por: Dong, Hao, et al.
Publicado: (2018) -
Supervised PolSAR Image Classification with Multiple Features and Locally Linear Embedding
por: Zhang, Qiang, et al.
Publicado: (2018) -
Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples
por: Zhao, Mingjun, et al.
Publicado: (2023) -
A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance
por: Yi, Huiguo, et al.
Publicado: (2018) -
An Adaptive Nonlocal Mean Filter for PolSAR Data with Shape-Adaptive Patches Matching
por: Shen, Peng, et al.
Publicado: (2018)