Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 311-316, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-311-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
03 Jun 2016
DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM
Hui-ting Gao, Wei Liu, Hong-yan He, Bing-xian Zhang, and Cheng Jiang Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
Keywords: Statistical Features of Histogram, De-striping; Histogrammic Centroid,Correlation Coefficient, Automatic Cloud Detection, Non-uniformity Abstract. Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distribution of histograms,the centroid of histogram is selected to be an eigenvalue representing uniformity of ground objects,histogrammic centroid of whole image and each pixels are calculated first,the differences between them are regard as rough correction coefficients, then in order to avoid the sensitivity caused by single parameter and considering the strong continuity and pertinence of ground objects between two adjacent pixels,correlation coefficient of the histograms is introduces to reflect the similarities between them,fine correction coefficient is obtained by searching around the rough correction coefficient,additionally,in view of the influence of bright cloud on histogram,an automatic cloud detection based on multi-feature including grey level,texture,fractal dimension and edge is used to pre-process image.Two 0-level panchromatic images of SJ-9A satellite with obvious strip noise are processed by proposed method to evaluate the performance, results show that the visual quality of images are improved because the strip noise is entirely removed,we quantitatively analyse the result by calculating the non-uniformity ,which has reached about 1% and is better than histogram matching method.
Conference paper (PDF, 1007 KB)


Citation: Gao, H.-T., Liu, W., He, H.-Y., Zhang, B.-X., and Jiang, C.: DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 311-316, https://doi.org/10.5194/isprs-archives-XLI-B1-311-2016, 2016.

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