A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance. [PDF]
Sensors (Basel), 2018 Yi H, Yang J, Li P, Shi L, Lang F.
europepmc +1 more source
In the task of PolSAR image classification, effectively utilizing convolutional neural networks and vision transformer models with limited labeled data poses a critical challenge.
Haifeng Sima +4 more
core +1 more source
Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]
J Imaging, 2022 Koukiou G.
europepmc +1 more source
Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter. [PDF]
Sensors (Basel), 2021 Shen Y, Ma X, Zhu S, Xu J.
europepmc +1 more source
Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory. [PDF]
Sensors (Basel), 2016 Peng D, Zhang H, Guo W, Yang W.
europepmc +1 more source
Land Use and Land Cover Classification Meets Deep Learning: A Review. [PDF]
Sensors (Basel), 2023 Zhao S, Tu K, Ye S, Tang H, Hu Y, Xie C.
europepmc +1 more source
Survey of Transverse Range Fire Scars in 10 Years of UAVSAR Polarimetry. [PDF]
Earth Space Sci, 2021 Parker J, Donnellan A, Glasscoe M.
europepmc +1 more source
Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. [PDF]
Sensors (Basel), 2021 Zhu L, Ma X, Wu P, Xu J.
europepmc +1 more source
Multichannel semi-supervised active learning for PolSAR image classification
Deep neural networks have recently been extensively utilized for Polarimetric synthetic aperture radar (PolSAR) image classification. However, this heavily relies on extensive labeled data which is both costly and labor-intensive. To lower the collection
Wen Xie +4 more
core +1 more source
PolSAR image classification using shallow to deep feature fusion network with complex valued attention. [PDF]
Sci RepAlkhatib MQ +4 more
europepmc +1 more source