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| Content Provider | PubMed Central |
|---|---|
| Author | Gao, Bo-cai Liu, Ming |
| Copyright Year | 2013 |
| Abstract | Surface reflectance spectra retrieved from remotely sensed hyperspectral imaging data using radiative transfer models often contain residual atmospheric absorption and scattering effects. The reflectance spectra may also contain minor artifacts due to errors in radiometric and spectral calibrations. We have developed a fast smoothing technique for post-processing of retrieved surface reflectance spectra. In the present spectral smoothing technique, model-derived reflectance spectra are first fit using moving filters derived with a cubic spline smoothing algorithm. A common gain curve, which contains minor artifacts in the model-derived reflectance spectra, is then derived. This gain curve is finally applied to all of the reflectance spectra in a scene to obtain the spectrally smoothed surface reflectance spectra. Results from analysis of hyperspectral imaging data collected with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data are given. Comparisons between the smoothed spectra and those derived with the empirical line method are also presented. |
| Related Links | http://dx.doi.org/10.3390/s131013879 |
| Ending Page | 13891 |
| Page Count | 13 |
| Starting Page | 13879 |
| File Format | |
| ISSN | 14248220 |
| e-ISSN | 14248220 |
| Journal | Sensors (Basel, Switzerland) |
| Issue Number | 10 |
| Volume Number | 13 |
| Language | English |
| Publisher | Molecular Diversity Preservation International (MDPI) |
| Publisher Date | 2013-10-14 |
| Access Restriction | Open |
| Rights Holder | Molecular Diversity Preservation International (MDPI) |
| Subject Keyword | Sensors and actuators Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Atomic and Molecular Physics, and Optics Instrumentation Analytical Chemistry Biochemistry Information Systems Electrical and Electronic Engineering |
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