ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 57-61, 2016
https://doi.org/10.5194/isprs-annals-III-6-57-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Jun 2016
A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES
Xinxin Liu1, Huanfeng Shen1,5, Qiangqiang Yuan2,5, Liangpei Zhang3,5, and Qing Cheng4 1School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
3LIESMARS, Wuhan University, Wuhan 430079, China
4School of Urban Design, Wuhan University, Wuhan 430072, China
5Collaborative Innovation Center for Geospatial Information Technology, Wuhan 430079, China
Keywords: Destriping, Remote sensing image, Savitzky–Golay (SG) filter, Optimization-based model, Alternating direction method of multipliers (ADMM) Abstract. In remote sensing images, the common existing stripe noise always severely affects the imaging quality and limits the related subsequent application, especially when it is with high density. To well process the dense striped data and ensure a reliable solution, we construct a statistical property based constraint in our proposed model and use it to control the whole destriping process. The alternating direction method of multipliers (ADMM) is applied in this work to solve and accelerate the model optimization. Experimental results on real data with different kinds of dense stripe noise demonstrate the effectiveness of the proposed method in terms of both qualitative and quantitative perspectives.
Conference paper (PDF, 1416 KB)


Citation: Liu, X., Shen, H., Yuan, Q., Zhang, L., and Cheng, Q.: A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 57-61, https://doi.org/10.5194/isprs-annals-III-6-57-2016, 2016.

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