Improved Line Tracing Methods for Removal of Bad Streaks Noise in CCD Line Array Image—A Case Study with GF-1 Images

Remote sensing images could provide us with tremendous quantities of large-scale information. Noise artifacts (stripes), however, made the images inappropriate for vitalization and batch process. An effective restoration method would make images ready for further analysis. In this paper, a new method is proposed to correct the stripes and bad abnormal pixels in charge-coupled device (CCD) linear array images. The method involved a line tracing method, limiting the location of noise to a rectangular region, and corrected abnormal pixels with the Lagrange polynomial algorithm. The proposed detection and restoration method were applied to Gaofen-1 satellite (GF-1) images, and the performance of this method was evaluated by omission ratio and false detection ratio, which reached 0.6% and 0%, respectively. This method saved 55.9% of the time, compared with traditional method.

[1]  Tian Han,et al.  Detection and correction of abnormal pixels in Hyperion images , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[2]  James M. White,et al.  Landsat Data Destriping Using Power Spectral Filtering , 1988 .

[3]  Feng Gao,et al.  A simple and effective method for filling gaps in Landsat ETM+ SLC-off images , 2011 .

[4]  HU Bao-pen Destriping Model of MODIS Images Based on Moment Matching and Variational Approach , 2014 .

[5]  Yu Ying,et al.  Comparison analysis of bad pixel repair methods for EO-1 hyperion. , 2009 .

[6]  Matthew F. McCabe,et al.  Gap-Filling of Landsat 7 Imagery Using the Direct Sampling Method , 2016, Remote. Sens..

[7]  Guangcai Feng,et al.  Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements , 2016, Remote. Sens..

[8]  Yang Chen,et al.  Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data , 2014 .

[9]  Tan Bing-xiang,et al.  Preprocessing of EO-1 Hyperion Hyperspectral Data , 2005 .

[10]  Guo Xue-pin Lagrange Average Interpolation Method , 2007 .

[11]  Courtenay Strong,et al.  Filling the Polar Data Gap in Sea Ice Concentration Fields Using Partial Differential Equations , 2016, Remote. Sens..

[12]  Gao Hai-lian Method Research on Destriping Hyperion Image Noise , 2014 .

[13]  Hao Chen,et al.  Processing Hyperion and ALI for forest classification , 2003, IEEE Trans. Geosci. Remote. Sens..

[14]  Joonki Paik,et al.  Push-Broom-Type Very High-Resolution Satellite Sensor Data Correction Using Combined Wavelet-Fourier and Multiscale Non-Local Means Filtering , 2015, Sensors.

[15]  Huanxin Zou,et al.  A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution , 2016, Sensors.

[16]  Sean Sloan,et al.  Overcoming Limitations with Landsat Imagery for Mapping of Peat Swamp Forests in Sundaland , 2012, Remote. Sens..

[17]  F. L. Gadallah,et al.  Destriping multisensor imagery with moment matching , 2000 .

[18]  Zhanfeng Shen,et al.  Research on Landsat-7 SLC-off image restoration method based on MODIS09 data , 2010 .

[19]  Lin You-ming The Impact of the Scan Lines Corrector Malfunction on Landsat-7 Imagery Data and the Processing Methods , 2005 .

[20]  G. L. Schmidt,et al.  A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images , 2007 .

[21]  Martin Kappas,et al.  Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure , 2008, Sensors.

[22]  Hou We A Method Using Landsat TM to Fill Gaps in ETM+SLC-off Images , 2013 .

[23]  Chao Zeng,et al.  Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method , 2013 .

[24]  Wang Hansheng,et al.  Surface flow velocity of mountain glaciers derived from Landsat-7 ETM+ SLCOFF images:extraction and quantitative evaluation:A case study of the Siachen Glacier in the Karakoram , 2016 .