NIU Sheng-li, TANG Jun-wu, JIANG Xing-wei, et al. The Comparison of Two Quantitative Striping Removal Algorithms for HY-1A COCTS Data[J]. Journal of Remote Sensing, 2007, (6): 860-867. DOI: 10.11834/jrs.200706116.
The Comparison of Two Quantitative Striping Removal Algorithms for HY-1A COCTS Data
The HY-1 satellite is the first satellite for remote sensing of ocean environment in China and COCTS is one of the main sensor.Striping noise is unavoidable for most data of the COCTS because each detector’s response to radiant signal is different.The striping noise can seriously affects the quality of image and quantitative application of COCTS data.In order to decrease this effect we try to remove these stripes in COCTS images using moment matching correction and histogram matching correction in this paper.The final results indicate these two methods are both effective
but considering the overall effect
the histogram matching correction is better.The result of this study is also applicable in striping removal of other multisensor’s remote sensing data.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education,Department of Geo-informatics, Central South University