Modeling and interpretation of scattering mechanisms in polarimetric synthetic aperture radar: Advances and perspectives

SW Chen, YZ Li, XS Wang, SP Xiao… - IEEE Signal Processing …, 2014 - ieeexplore.ieee.org
Recent advances in scattering modeling and model-based decomposition theorem were
reviewed. The notable achievements include orientation compensation processing …

Semantic segmentation of PolSAR image data using advanced deep learning model

R Garg, A Kumar, N Bansal, M Prateek, S Kumar - Scientific reports, 2021 - nature.com
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 …

Seven-component scattering power decomposition of POLSAR coherency matrix

G Singh, R Malik, S Mohanty… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
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 …

General polarimetric model-based decomposition for coherency matrix

SW Chen, XS Wang, SP Xiao… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Orientation angle compensation was incorporated into model-based decomposition to cure
overestimation of the volume scattering contribution for interpretation of polarimetric …

A two-stage method for ship detection using PolSAR image

T Zhang, S Quan, Z Yang, W Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

[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 …

[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 …

Wishart deep stacking network for fast POLSAR image classification

L Jiao, F Liu - IEEE Transactions on Image Processing, 2016 - ieeexplore.ieee.org
Inspired by the popular deep learning architecture, deep stacking network (DSN), a specific
deep model for polarimetric synthetic aperture radar (POLSAR) image classification is …

Target characterization and scattering power decomposition for full and compact polarimetric SAR data

AC Frery, D Ratha, A Bhattacharya, D Mandal… - Authorea …, 2023 - techrxiv.org
This manuscript was accepted for publication on IEEE Transactions on Geoscience and
Remote Sensing. Abstract: In radar polarimetry, incoherent target decomposition techniques …