Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods. [PDF]
Wang M +6 more
europepmc +1 more source
Advanced machine learning algorithms for Canadian wetland mapping using polarimetric synthetic aperture radar (PolSAR) and optical imagery [PDF]
Masoud Mahdianpari
openalex
KummerU clutter model for PolSAR data: Application to segmentation and classification
International audienceIn this paper, Spherically Invariant Random Vectors (SIRV) are introduced to describe the heterogeneity of the Polarimetric Synthetic Aperture Radar (PolSAR) clutter.
Bombrun, Lionel +4 more
core +1 more source
Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. [PDF]
Zhu L, Ma X, Wu P, Xu J.
europepmc +1 more source
Evaluation of Multilook Effect in ICA Based ICTD for PolSAR Data Analysis
International audiencePolarimetric incoherent target decomposition aims in accessing physical parameters of illuminated scatters through the analysis of target coherence or covariance matrix.
Besic, Nikola +4 more
core +1 more source
Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China. [PDF]
Wang D, Liu CA, Zeng Y, Tian T, Sun Z.
europepmc +1 more source
Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks. [PDF]
Liu J, Xu Y, Li H, Guo J.
europepmc +1 more source
SAR image matching based on rotation-invariant description. [PDF]
Chang Y +5 more
europepmc +1 more source
Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Imani M.
europepmc +1 more source
Coastal Wetland Classification with GF-3 Polarimetric SAR Imagery by Using Object-Oriented Random Forest Algorithm. [PDF]
Zhang X, Xu J, Chen Y, Xu K, Wang D.
europepmc +1 more source

