Next Article in Journal
Optical Detection of Vapor Mixtures Using Structurally Colored Butterfly and Moth Wings
Previous Article in Journal
Dual Microphone Voice Activity Detection Based on Reliable Spatial Cues
Article Menu

Export Article

Open AccessArticle

Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch

1,2,* and 1,2
1
Department of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
2
Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(14), 3057; https://doi.org/10.3390/s19143057
Received: 15 May 2019 / Revised: 9 July 2019 / Accepted: 9 July 2019 / Published: 11 July 2019
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
  |  
PDF [7096 KB, uploaded 11 July 2019]
  |  

Abstract

This paper presents a despeckling method for multitemporal images acquired by synthetic aperture radar (SAR) sensors. The proposed method uses a scattering covariance matrix of each image patch as the basic processing unit, which can exploit both the amplitude information of each pixel and the phase difference between any two pixels in a patch. The proposed filtering framework consists of four main steps: (1) a prefiltering result of each image is obtained by a nonlocal weighted average using only the information of the corresponding time phase; (2) an adaptively temporal linear filter is employed to further suppress the speckle; (3) the final output of each patch is obtained by a guided filter using both the original speckled data and the filtering result of step 3; and (4) an aggregation step is used to tackle the multiple estimations problem for each pixel. The despeckling experiments conducted on both simulated and real multitemporal SAR datasets reveal the pleasing performance of the proposed method in both suppressing speckle and retaining details, when compared with both advanced single-temporal and multitemporal SAR despeckling techniques. View Full-Text
Keywords: synthetic aperture radar; speckle filtering; multitemporal; nonlocal means; covariance matrix synthetic aperture radar; speckle filtering; multitemporal; nonlocal means; covariance matrix
Figures

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

Share & Cite This Article

MDPI and ACS Style

Ma, X.; Wu, P. Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch. Sensors 2019, 19, 3057.

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

1

Comments

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