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http://dx.doi.org/10.7780/kjrs.2021.37.3.6

Iterative Precision Geometric Correction for High-Resolution Satellite Images  

Son, Jong-Hwan (Image Engineering Research Center, 3DLabs Co., Ltd.)
Yoon, Wansang (Image Engineering Research Center, 3DLabs Co., Ltd.)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Rhee, Sooahm (Image Engineering Research Center, 3DLabs Co., Ltd.)
Publication Information
Korean Journal of Remote Sensing / v.37, no.3, 2021 , pp. 431-447 More about this Journal
Abstract
Recently, the use of high-resolution satellites is increasing in many areas. In order to supply useful satellite images stably, it is necessary to establish automatic precision geometric correction technic. Geometric correction is the process that corrected geometric errors of satellite imagery based on the GCP (Ground Control Point), which is correspondence point between accurate ground coordinates and image coordinates. Therefore, in the automatic geometric correction process, it is the key to acquire high-quality GCPs automatically. In this paper, we proposed iterative precision geometry correction method. we constructed an image pyramid and repeatedly performed GCP chip matching, outlier detection, and precision sensor modeling in each layer of the image pyramid. Through this method, we were able to acquire high-quality GCPs automatically. we then improved the performance of geometric correction of high-resolution satellite images. To analyze the performance of the proposed method, we used KOMPSAT-3 and 3A Level 1R 8 scenes. As a result of the experiment, the proposed method showed the geometric correction accuracy of 1.5 pixels on average and a maximum of 2 pixels.
Keywords
High-resolution satellite image; Geometric correction; GCP matching; RANSAC; KOMPSAT- 3; KOMPSAT-3A; CAS500;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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