Results 71 to 80 of about 19,525 (263)
Canadian Journal of Remote Sensing, 2018 Agriculture is an important sector in Canada, and annual crop inventories are required in many agricultural applications. Multi-temporal polarimetric synthetic aperture radar (SAR) data have great potential in crop classification due to its less ...
Chunhua Liao +3 more
doaj +1 more source
Detecting microplastics pollution in world oceans using SAR remote sensing [PDF]
, 2018 Plastic pollution in the world’s oceans is estimated to have reached 270.000 tones, or 5.25 trillion pieces. This plastic is now ubiquitous, however due to ocean circulation patterns, it accumulates in the ocean gyres, creating “garbage patches”.
Ackermann, Nicolas +6 more
core +3 more sources
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This work proposes a conditional diffusion model framework for high‐fidelity 3D reconstruction from sparse multibaseline circular synthetic aperture radar (CSAR) data, addressing challenges of low vertical resolution, geometric blur and artefacts. The method integrates a dual‐path 3D U‐Net with cross‐attention to fuse coarse reconstruction features ...
Xingyu Zhao +4 more
wiley +1 more source
The Journal of Engineering, 2019 Scattering entropy (H), scattering angle (α) and anti-entropy (A) are useful parameters in synthetic aperture radar (SAR) image classification. Usually, full-polarimetric SAR data are needed to extract these parameters. In this study, the authors firstly
Juan Zhang +3 more
doaj +1 more source
, 2015 We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
Alvarez, Luis +3 more
core +1 more source
Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry [PDF]
, 2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Mallorquí Franquet, Jordi Joan +1 more
core +2 more sources
Learning to Optimise FISTA‐PnP for Sparse Radar Imaging
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao +7 more
wiley +1 more source
Soil moisture retrieval under wheat crop using RISAT-1 hybrid polarimetric SAR data
Journal of Agrometeorology, 2019 The study aims to retrieve soil moisture from RISAT-1 hybrid polarimetric SAR data. Although the use of linear polarimetric SAR data has been well understood and documented, but hybrid polarimetric SAR data is grossly under explored and under reported ...
P.K. SHARMA +4 more
doaj +1 more source
Offshore Metallic Platforms Observation Using Dual-Polarimetric TS-X/TD-X Satellite Imagery: A Case Study in the Gulf of Mexico [PDF]
, 2017 Satellite-based synthetic aperture radar (SAR) has been proven to be an effective tool for ship monitoring. Offshore platforms monitoring is a key topic for both safety and security of the maritime domain.
Marino, Armando +2 more
core +3 more sources
Orthogonal Scattering Model-Based Three-Component Decomposition of Polarimetric SAR Data [PDF]
, 2022 Wentao Han +4 more
openalex +1 more source