高分影像辅助下的航空高光谱严密几何检校方法

doi:10.7527/S1000-6893.2014.0181

Abstract

Abstract:

The eccentric angle and eccentricity vector between inertial measurement unit (IMU) and the collimation axe of sensors are the main causes for geometric correction errors of airborne line array hyperspectral Images. In this paper, the errors caused by eccentric angle and eccentricity vector are supposed to consist of the angular deviation between spindles of IMU sensor and hyperspectral camera, fixed position offset, relative position offset between GPS center and sensor projection center firstly, and then a strict geometric calibration model is given. As this new model needs a large number of high-precision control points for calculation, an automatic control point selection method with sub-pixel precision is proposed. Experiments of multi-region and multi-sensor show that sub-pixel control points selection method can improve the accuracy of the calibration model effectively. With this new calibration model, the push-broom sensor (airborne imaging spectroradiometer for applications (AISA)) modeling error is about 0.39 pixels, and the whisk-broom sensor operational modular imaging spectrometer (OMIS) modeling error is about 0.23 pixels. Both of the geometric correction precisions are at sub-pixel level. The images after geometric correction can directly mosaic together.

Key words: calibration, template matching, airborne hyperspectral sensors, eccentric angle, eccentricity vector, high resolution image

CLC Number:

TIAN Yugang, YANG Gui, WU Wei. A strict geometric calibration method for airborne hyperspectral sensors aided by high resolution images[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(4): 1250-1258.

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A strict geometric calibration method for airborne hyperspectral sensors aided by high resolution images

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