Back to Search
Start Over
Study on directional reflectivity characteristics analysis of mixed pixels using multi-angle spectral measurements
- Source :
- Earth Science Informatics.
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- The influence of the detection direction on the quality of spectral data was not taken into account, which is catastrophic for some samples where the reflectivity direction was very different. To explore the directional characteristics of mixed pixels reflectivity, we used an ASD FieldSpec3 spectroradiometer to carry out multi-angle spectral measurement experiments in the laboratory, and the direction error model is established. As a result, the proportions of black area (PBA) and the observed azimuths (Φ) will affect the reflectivity of the mixed pixel in the visible light band. It is found that when the PBA is close to 0, the reflectivity distribution of mixed pixels is characterized by the reflected energy reflecting uniformly around the entire hemisphere space. When PBA is close to 1, there is a significant difference in the reflectivity of mixed pixels in 2π space. The direction error model better reflects the reflectivity changes caused by PBA and observed azimuth. The mean absolute error of the estimated reflectivity compared with the measured value is only 0.047. When the PBA is large, the estimation accuracy of the model is higher. When the PBA is small, and the observed azimuth is large, the accuracy of the model is slightly worse. The “two-block” mixed pixel is an ideal sample to satisfy the direction error model, while a dispersed “multi-block” mixed pixel is not applicable to the correction model. When conducting mixed pixel spectral measurement experiment, the influence of the detection azimuth on the spectral reflectivity should be fully considered, which is beneficial to improve the reliability of experiments on multi-angle spectral measurements of mixed pixels.
- Subjects :
- Physics
010504 meteorology & atmospheric sciences
Pixel
business.industry
010502 geochemistry & geophysics
01 natural sciences
Sample (graphics)
Azimuth
Quality (physics)
Distribution (mathematics)
Optics
Spectroradiometer
General Earth and Planetary Sciences
business
Energy (signal processing)
0105 earth and related environmental sciences
Visible spectrum
Subjects
Details
- ISSN :
- 18650481 and 18650473
- Database :
- OpenAIRE
- Journal :
- Earth Science Informatics
- Accession number :
- edsair.doi...........df8e6bc18fd8dfe66e265870ac548982
- Full Text :
- https://doi.org/10.1007/s12145-021-00622-5