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Remote Sens. 2015, 7(2), 1640-1666; doi:10.3390/rs70201640

An Improved Unmixing-Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters

1,†
,
1,2,* , 3,†
,
1,†
,
1,†
and
1,†
1
Jiangsu Provincial Key Laboratory of Carbon and Nitrogen Cycle Processes and Pollution Control, Nanjing 210023, China
2
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
3
Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Deepak Mishra and Prasad S. Thenkabail
Received: 28 September 2014 / Accepted: 6 January 2015 / Published: 5 February 2015
View Full-Text   |   Download PDF [7916 KB, uploaded 11 February 2015]   |  

Abstract

Although remote sensing technology has been widely used to monitor inland water bodies; the lack of suitable data with high spatial and spectral resolution has severely obstructed its practical development. The objective of this study is to improve the unmixing-based fusion (UBF) method to produce fused images that maintain both spectral and spatial information from the original images. Images from Environmental Satellite 1 (HJ1) and Medium Resolution Imaging Spectrometer (MERIS) were used in this study to validate the method. An improved UBF (IUBF) algorithm is established by selecting a proper HJ1-CCD image band for each MERIS band and thereafter applying an unsupervised classification method in each sliding window. Viewing in the visual sense—the radiance and the spectrum—the results show that the improved method effectively yields images with the spatial resolution of the HJ1-CCD image and the spectrum resolution of the MERIS image. When validated using two datasets; the ERGAS index (Relative Dimensionless Global Error) indicates that IUBF is more robust than UBF. Finally, the fused data were applied to evaluate the chlorophyll a concentrations (Cchla) in Taihu Lake. The result shows that the Cchla map obtained by IUBF fusion captures more detailed information than that of MERIS. View Full-Text
Keywords: image fusion; unmixing-based fusion method; inland case 2 water; remote monitoring image fusion; unmixing-based fusion method; inland case 2 water; remote monitoring
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).

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MDPI and ACS Style

Guo, Y.; Li, Y.; Zhu, L.; Liu, G.; Wang, S.; Du, C. An Improved Unmixing-Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters. Remote Sens. 2015, 7, 1640-1666.

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