A destriping method with multi-scale variational model for remote sensing images

	A destriping method with multi-scale variational model for remote sensing images
	Huo, L.-J.; B. He and D.-B. Zhou
	2017
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号	25 期号:1
摘要	Non-uniformity often occurs in multi-detectors remote-sensing imaging system, resulting in the existence of strip noise in remote sensing images. A destriping method with multi-scale variational model has been proposed on the basis of the analysis on the main sources and model of stripe noise. First, the characteristics of strip noise have been analyzed and the degradation model of the image has been formulated. Secondly, the unidirectional characteristic of strip noise and multi-scale hierarchical image decomposition have been combined to structure J-functional. Then, the method uses fixed point Gauss-Seidel iterative method to minimize multi-scale J-functional and separate stripe noise and useful information. Last, structural and details component under different scales will be accumulated to obtain the destriped images. The experiment result on real remote sensing images indicates that the image distortion is 2 and IF increases to 11.7150 dB for regular stripe noise; the image distortion is 3.3 and the IF increases to 11.0925 dB for random stripe noise. Compared with typical destriping methods, the method in this paper can ensure that stripe noise will be removed completely and pre-processing requirements of small distortion for remote sensing images will be met, for both regular stripe noise and random stripe noise. 2017, Science Press. All right reserved.
收录类别	ei
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/58955
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Huo, L.-J.,B. He and D.-B. Zhou. A destriping method with multi-scale variational model for remote sensing images[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2017,25(1).
APA	Huo, L.-J.,&B. He and D.-B. Zhou.(2017).A destriping method with multi-scale variational model for remote sensing images.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,25(1).
MLA	Huo, L.-J.,et al."A destriping method with multi-scale variational model for remote sensing images".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 25.1(2017).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A destriping method （1191KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载