Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

High-resolution fully-polarimetric synthetic aperture radar dataset

Journal Article · · Discover Geoscience
Fully-polarimetric synthetic aperture radar (PolSAR) data contain a rich body of elementary scattering physics information that is critically valuable for a broad range of applications and scientific purposes. However, there is a lack of available high-resolution (< 0.3048-m) data available for PolSAR phenomenology research. This article introduces a high-resolution PolSAR data set collected and provided by Sandia National Laboratories (SNL). The data sets were collected to support studying high-resolution scattering physics from different types of clutter and applications such as polarimetric-based terrain classification.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0003525
OSTI ID:
2585681
Report Number(s):
SAND--2025-09489J; 1760120
Journal Information:
Discover Geoscience, Journal Name: Discover Geoscience Journal Issue: 1 Vol. 2; ISSN 2948-1589
Publisher:
Springer Science and Business Media LLCCopyright Statement
Country of Publication:
United States
Language:
English

References (14)

A statistical approach to combining multisource information in one-class classifiers: SIMONSON
  • Simonson, Katherine M.; Derek West, R.; Hansen, Ross L.
  • Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 10, Issue 4 https://doi.org/10.1002/sam.11342
journal June 2017
Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach book January 1996
Fine classification of rice paddy using multitemporal compact polarimetric SAR C band data based on machine learning methods journal June 2023
The combination of singular values decomposition with constant false alarm algorithms to enhance ship detection in a polarimetric SAR application journal August 2022
Pearl Millet Crop Biophysical Parameter Retrieval From Space Borne Polarimetric SAR Data Using Machine Learning journal January 2024
The FAIR Guiding Principles for scientific data management and stewardship journal March 2016
Classification of SAR and PolSAR images using deep learning: a review journal August 2019
Semi-supervised classification of terrain features in polarimetric SAR images using H/A/α and the general four-component scattering power decompositions conference November 2014
Polarimetric Synthetic-Aperture-Radar Change-Type Classification with a Hyperparameter-Free Open-Set Classifier conference June 2018
Urban Built-up Extraction Using SAR Polarimetry with Feature Combination and Machine Learning Technique conference June 2023
Polarimetric SAR Image Terrain Classification journal November 2019
An Improved Urban Area Extraction Method for PolSAR Data Using Eigenvalues and Optimal Roll-Invariant Features journal January 2024
Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data journal April 2021
Fully Polarimetric, High-Resolution Synthetic Aperture Radar Image Set for Albuquerque, New Mexico dataset January 2024

Similar Records

Polarimetric SAR Image Terrain Classification
Journal Article · Tue Nov 12 19:00:00 EST 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · OSTI ID:1697988

Detecing Surface Change Created by an Underground Chemical Explosion Using Fully Polarimetric VideoSAR
Technical Report · Thu Nov 01 00:00:00 EDT 2018 · OSTI ID:1481501

Data Fusion of Very High Resolution Hyperspectral and Polarimetric SAR Imagery for Terrain Classification
Technical Report · Tue Jun 01 00:00:00 EDT 2021 · OSTI ID:1813672

Related Subjects