PolSAR image classification using polarimetric-feature-driven deep convolutional neural network
SW Chen, CS Tao - IEEE Geoscience and Remote Sensing …, 2018 - ieeexplore.ieee.org
Polarimetric synthetic aperture radar (PolSAR) image classification is an important
application. Advanced deep learning techniques represented by deep convolutional neural …
application. Advanced deep learning techniques represented by deep convolutional neural …
A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem
Despite the application of state-of-the-art fully Convolutional Neural Networks (CNNs) for
semantic segmentation of very high-resolution optical imagery, their capacity has not yet …
semantic segmentation of very high-resolution optical imagery, their capacity has not yet …
Polarimetric convolutional network for PolSAR image classification
The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic
aperture radar (PolSAR) data have always been the focus of PolSAR image classification …
aperture radar (PolSAR) data have always been the focus of PolSAR image classification …
[HTML][HTML] 合成孔径雷达极化成像解译识别技术的进展与展望
王雪松， 陈思伟 - 雷达学报, 2020 - radars.ac.cn
极化合成孔径雷达(SAR) 能够获取目标的全极化信息, 在对地观测, 灾害评估,
侦察监视等民用和军用领域得到广泛应用. 国内主要高校, 中科院, 工业部门和用户单位在该领域 …
侦察监视等民用和军用领域得到广泛应用. 国内主要高校, 中科院, 工业部门和用户单位在该领域 …
Polarimetric roll-invariant features and applications for polarimetric synthetic aperture radar ship detection: A comprehensive summary and investigation
SW Chen, MD Li, XC Cui, HL Li - IEEE Geoscience and Remote …, 2023 - ieeexplore.ieee.org
Polarimetric radar, which can acquire full polarization information, has become mainstream
in microwave remote sensing. However, radar target scattering responses are strongly …
in microwave remote sensing. However, radar target scattering responses are strongly …
Three-dimension polarimetric correlation pattern interpretation tool and its application
MD Li, SP Xiao, SW Chen - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Polarimetric radar can acquire complete polarization information and is widely used in many
applications. However, target orientation relative to the radar line of sight usually exhibits …
applications. However, target orientation relative to the radar line of sight usually exhibits …
Polarimetric coherence pattern: A visualization and characterization tool for PolSAR data investigation
SW Chen - IEEE Transactions on Geoscience and Remote …, 2017 - ieeexplore.ieee.org
Polarimetric coherence, which has the potential to reveal physical properties of scatterers, is
an important source for polarimetric synthetic aperture radar (PolSAR) data investigation …
an important source for polarimetric synthetic aperture radar (PolSAR) data investigation …
Gaofen-3 PolSAR image classification via XGBoost and polarimetric spatial information
The launch of the Chinese Gaofen-3 (GF-3) satellite will provide enough synthetic aperture
radar (SAR) images with different imaging modes for land cover classification and other …
radar (SAR) images with different imaging modes for land cover classification and other …
SAR image speckle filtering with context covariance matrix formulation and similarity test
SW Chen - IEEE Transactions on Image Processing, 2020 - ieeexplore.ieee.org
Speckle filtering of synthetic aperture radar (SAR) image is a necessary pre-processing for
many subsequent applications. The challenge lies in how to adaptively select a sufficient …
many subsequent applications. The challenge lies in how to adaptively select a sufficient …
Block2vec: An approach for identifying urban functional regions by integrating sentence embedding model and points of interest
Urban functional regions are essential information in parsing urban spatial structure. The
rapid and accurate identification of urban functional regions is important for improving urban …
rapid and accurate identification of urban functional regions is important for improving urban …