Name
Abstract | ||
|---|---|---|
The Luojia 1-01 Satellite (LJ1-01) is the first professional night-light remote-sensing satellite in China, and thus, it is of pioneering significance for the development of night-light remote sensing satellites in China and the application of remote sensing in the social and economic fields. To ensure the application of night-light remote-sensing data, several studies concerning on-orbit geometric calibration and accuracy verification have been carried out for the complementary metal oxide semiconductor (CMOS) rolling shutter camera of LJ1-01 since the launch of the satellite. Owing to the lack of high-precision nightlight geometric reference at home and abroad, it is difficult to directly calibrate the nighttime light image of LJ1-01. Based on the principle of rolling shutter dynamic imaging, a rigorous geometric imaging model of the time-sharing exposure of the rolling shutter of LJ1-01 is established, and a geometric calibration method for daytime imaging calibration and compensated nighttime light data is proposed. The global public Landsat digital orthophoto image (DOM) with a 15-m resolution and 90-m Shuttle Radar Topography Mission digital elevation model (SRTM-DEM) are used as control data. The images obtained in England, Venezuela, Caracas, Damascus, and Torreon (Mexico) were selected as experimental data. The on-orbit calibration and accuracy verification of LJ1-01 were carried out. Experiments show that after on-orbit geometric calibration, the daytime calibration parameters can effectively compensate for the systematic errors of night-light images. After compensation, the positioning accuracy of night-light images without geometric control points (GCPs) is improved from nearly 20 km to less than 0.65 km. The internal accuracy of the calibrated night-light images is better than 0.3 pixels, which satisfies the requirement of subsequent applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/rs11030264 | REMOTE SENSING |
Keywords | Field | DocType |
Luojia 1-01,Rolling shutter model,Geometric calibration,RPC,Image registration,Block adjustment | Computer vision,Rolling shutter,Satellite,Remote sensing,Shuttle Radar Topography Mission,Digital elevation model,Artificial intelligence,Pixel,Geology,Calibration,Image registration,Orthophoto | Journal |
Volume | Issue | ISSN |
11 | 3 | 2072-4292 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo Zhang | 1 | 49 | 11.45 |
| Jingyin Wang | 2 | 1 | 1.71 |
| Yong-hua Jiang | 3 | 22 | 5.41 |
| Ping Zhou | 4 | 1 | 2.04 |
| Yanbin Zhao | 5 | 4 | 1.13 |
| Yi Xu | 6 | 1 | 0.35 |