Sensors, Vol. 19, Pages 2367: Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images

Sensors, Vol. 19, Pages 2367: Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images
Sensors doi: 10.3390/s19102367
Authors:
Guo Zhang
Mingjun Deng
Chenglin Cai
Ruishan Zhao

Geometric calibration is an important means of improving the absolute positioning accuracy of space-borne synthetic aperture radar imagery. The conventional calibration method is based on a calibration field, which is simple and convenient, but requires a great deal of manpower and material resources to obtain ground control points. Although newer cross-calibration methods do not require ground control points, calibration accuracy still depends on a periodically updated reference image. Accordingly, this study proposes a geometric self-calibration method based on the positioning consistency constraint of conjugate image points to provide rapid and accurate calibration of the YaoGan-13 satellite. The proposed method can accurately calibrate geometric parameters without requiring ground control points or high-precision reference images. To verify the absolute positioning accuracy obtained using the proposed self-calibration method, YaoGan-13 Stripmap images of multiple regions were collected and evaluated. The results indicate that high-accuracy absolute positioning can be achieved with a plane accuracy of 3.83 m or better for Stripmap data, without regarding elevation error. Compared to the conventional calibration method using high-accuracy control data, the differe...

Source: Sensors - May 22, 2019 Category: Biotechnology Authors: Guo Zhang Mingjun Deng Chenglin Cai Ruishan Zhao Tags: Article Source Type: research