Name
Abstract | ||
|---|---|---|
Gaofen-4 is a geostationary orbit area array imaging satellite. Due to the difficulty of the on-orbit radiometric calibration of area array cameras, there is system noise in the images. This paper analyzes the source of the system noise, constructs a noise model of Gaofen-4, and proposes a practical method to remove the system noise using multiple images. Gaussian filtering is used to remove radiometric characteristics, and the Grubbs criterion is used to remove gradient characteristics, thereby transforming the images into noise images. System noise can be removed using correction coefficients obtained by superimposing multiple noise images. Using a variety of denoising methods to perform contrast experiments, the results show that the proposed method can effectively maintain image edge details and texture information while removing image noise. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/rs10050759 | REMOTE SENSING |
Keywords | Field | DocType |
Gaofen-4,system noise removal,area array camera,optical remote sensing satellite | Noise reduction,Radiometric calibration,Computer vision,Satellite,Remote sensing,Filter (signal processing),Image noise,Gaussian,Artificial intelligence,Geology,Noise removal,Geostationary orbit | Journal |
Volume | Issue | ISSN |
10 | 5 | 2072-4292 |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueli Chang | 1 | 1 | 0.70 |
| Luxiao He | 2 | 1 | 1.04 |