Next Article in Journal
A Pseudorange Measurement Scheme Based on Snapshot for Base Station Positioning Receivers
Next Article in Special Issue
Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration
Previous Article in Journal
Electrochemical Immunosensor for the Detection of Aflatoxin B1 in Palm Kernel Cake and Feed Samples
Previous Article in Special Issue
First Spaceborne SAR-GMTI Experimental Results for the Chinese Gaofen-3 Dual-Channel SAR Sensor
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(12), 2785; doi:10.3390/s17122785

Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification

The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Beijing Institute of Space System Engineering, China Academy of Space Technology, Beijing 100086, China
Author to whom correspondence should be addressed.
Received: 11 October 2017 / Revised: 14 November 2017 / Accepted: 27 November 2017 / Published: 1 December 2017
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
View Full-Text   |   Download PDF [7788 KB, uploaded 5 December 2017]   |  


On 10 August 2016 China launched the GF-3, its first C-band polarimetric synthetic aperture radar (SAR) satellite, which was put into operation at the end of January, 2017. GF-3 polarimetric SAR has many advantages such as high resolution and multi-polarization imaging capabilities. Polarimetric SAR can fully characterize the backscatter property of targets, and thus it is of great interest to explore the physical scattering mechanisms of terrain types, which is very important in interpreting polarimetric SAR imagery and for its further usages in Earth observations. In this paper, focusing on target scattering characterization and feature extraction, we generalize the Δ α B / α B method, which was proposed under the reflection symmetric assumption, for the general backscatter process to account for both the reflection symmetry and asymmetry cases. Then, we evaluate the performances of physical scattering mechanism analysis methods for GF-3 polarimetric SAR imagery. Radarsat-2 data acquired over the same area is used for cross validation. Results show that GF-3 polarimetric SAR data has great potential for target characterization, especially for ocean area observation. View Full-Text
Keywords: GF-3 satellite; radar polarimetry; synthetic aperture radar (SAR); physical scattering mechanism GF-3 satellite; radar polarimetry; synthetic aperture radar (SAR); physical scattering mechanism

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yin, J.; Yang, J.; Zhang, Q. Assessment of GF-3 Polarimetric SAR Data for Physical Scattering Mechanism Analysis and Terrain Classification. Sensors 2017, 17, 2785.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top