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- Title
An Improved Unmixing-Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters.
- Authors
Yulong Guo; Yunmei Li; Li Zhu; Ge Liu; Shuai Wang; Chenggong Du
- 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.
- Subjects
REMOTE sensing in oceanography; REMOTE sensing; REMOTE-sensing images; SPECTRAL imaging; AERIAL photogrammetry
- Publication
Remote Sensing, 2015, Vol 7, Issue 2, p1640
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs70201640