Next Article in Journal
An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives
Previous Article in Journal
Structural Parameters Calibration for Binocular Stereo Vision Sensors Using a Double-Sphere Target
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(7), 1068; doi:10.3390/s16071068

Pansharpening with a Guided Filter Based on Three-Layer Decomposition

1
School of Resource and Environmental Sciences, Wuhan University, Luoyu Road, Wuhan 430079, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road, Wuhan 430079, China
3
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
4
Collaborative Innovation Center of Geospatial Technology, Luoyu Road, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 12 May 2016 / Revised: 24 June 2016 / Accepted: 5 July 2016 / Published: 12 July 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [8837 KB, uploaded 12 July 2016]   |  

Abstract

State-of-the-art pansharpening methods generally inject the spatial structures of a high spatial resolution (HR) panchromatic (PAN) image into the corresponding low spatial resolution (LR) multispectral (MS) image by an injection model. In this paper, a novel pansharpening method with an edge-preserving guided filter based on three-layer decomposition is proposed. In the proposed method, the PAN image is decomposed into three layers: A strong edge layer, a detail layer, and a low-frequency layer. The edge layer and detail layer are then injected into the MS image by a proportional injection model. In addition, two new quantitative evaluation indices, including the modified correlation coefficient (MCC) and the modified universal image quality index (MUIQI) are developed. The proposed method was tested and verified by IKONOS, QuickBird, and Gaofen (GF)-1 satellite images, and it was compared with several of state-of-the-art pansharpening methods from both qualitative and quantitative aspects. The experimental results confirm the superiority of the proposed method. View Full-Text
Keywords: pansharpening; guided filter; three-layer decomposition; panchromatic (PAN); multispectral (MS) pansharpening; guided filter; three-layer decomposition; panchromatic (PAN); multispectral (MS)
Figures

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

Meng, X.; Li, J.; Shen, H.; Zhang, L.; Zhang, H. Pansharpening with a Guided Filter Based on Three-Layer Decomposition. Sensors 2016, 16, 1068.

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