Modeling and interpretation of scattering mechanisms in polarimetric synthetic aperture radar: Advances and perspectives
Recent advances in scattering modeling and model-based decomposition theorem were
reviewed. The notable achievements include orientation compensation processing …
reviewed. The notable achievements include orientation compensation processing …
Semantic segmentation of PolSAR image data using advanced deep learning model
Urban area mapping is an important application of remote sensing which aims at both
estimation and change in land cover under the urban area. A major challenge being faced …
estimation and change in land cover under the urban area. A major challenge being faced …
Seven-component scattering power decomposition of POLSAR coherency matrix
Applications of fully polarimetric synthetic aperture radar (POLSAR) have increased in the
past few decades. The potential of model-based decompositions is coupled with polarimetric …
past few decades. The potential of model-based decompositions is coupled with polarimetric …
General polarimetric model-based decomposition for coherency matrix
Orientation angle compensation was incorporated into model-based decomposition to cure
overestimation of the volume scattering contribution for interpretation of polarimetric …
overestimation of the volume scattering contribution for interpretation of polarimetric …
A two-stage method for ship detection using PolSAR image
Ship detection using polarimetric synthetic aperture radar (PolSAR) images has recently
been an active topic in the Earth observation field, in which how to detect small ships is an …
been an active topic in the Earth observation field, in which how to detect small ships is an …
Model-based six-component scattering matrix power decomposition
G Singh, Y Yamaguchi - IEEE Transactions on Geoscience and …, 2018 - ieeexplore.ieee.org
Fully polarimetric model-based decompositions are developed by accounting for the
physical scattering model and experimental polarimetric SAR data acquisition processes …
physical scattering model and experimental polarimetric SAR data acquisition processes …
[HTML][HTML] A polarimetric projection-based scattering characteristics extraction tool and its application to PolSAR image classification
W Han, H Fu, J Zhu, S Zhang, Q Xie, J Hu - ISPRS Journal of …, 2023 - Elsevier
It is necessary to adequately extract scattering characteristics from polarimetric synthetic
aperture radar (PolSAR) data for land-cover classification. Current interpretation …
aperture radar (PolSAR) data for land-cover classification. Current interpretation …
[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 …
Wishart deep stacking network for fast POLSAR image classification
Inspired by the popular deep learning architecture, deep stacking network (DSN), a specific
deep model for polarimetric synthetic aperture radar (POLSAR) image classification is …
deep model for polarimetric synthetic aperture radar (POLSAR) image classification is …
Target characterization and scattering power decomposition for full and compact polarimetric SAR data
This manuscript was accepted for publication on IEEE Transactions on Geoscience and
Remote Sensing. Abstract: In radar polarimetry, incoherent target decomposition techniques …
Remote Sensing. Abstract: In radar polarimetry, incoherent target decomposition techniques …