{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:29:25Z","timestamp":1760369365232,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T00:00:00Z","timestamp":1492992000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s17040935","type":"journal-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T13:10:11Z","timestamp":1493039411000},"page":"935","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Improved Line Tracing Methods for Removal of Bad Streaks Noise in CCD Line Array Image\u2014A Case Study with GF-1 Images"],"prefix":"10.3390","volume":"17","author":[{"given":"Bo","family":"Wang","sequence":"first","affiliation":[{"name":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Bao","sequence":"additional","affiliation":[{"name":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shikui","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing, Tianjin 300301, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houjun","family":"Wang","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, Tianjin 300112, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghong","family":"Sheng","sequence":"additional","affiliation":[{"name":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,24]]},"reference":[{"key":"ref_1","first-page":"113","article-title":"Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data","volume":"27","author":"Zhu","year":"2015","journal-title":"Remote Sens. Land Resour."},{"key":"ref_2","first-page":"28","article-title":"Destriping Model of MODIS Images Based on Moment Matching and Variational Approach","volume":"35","author":"Hu","year":"2014","journal-title":"Infrared"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1117\/12.7976791","article-title":"Landsat Data Destriping Using Power Spectral Filtering","volume":"27","author":"Srinivasan","year":"1988","journal-title":"Opt. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"22826","DOI":"10.3390\/s150922826","article-title":"Push-Broom-Type Very High-Resolution Satellite Sensor Data Correction Using Combined Wavelet-Fourier and Multiscale Non-Local Means Filtering","volume":"15","author":"Kang","year":"2015","journal-title":"Sensors"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2505","DOI":"10.1080\/01431160050030592","article-title":"Destriping Multisensor Imagery with Moment Matching","volume":"21","author":"Gadallah","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4429","DOI":"10.3390\/s8074429","article-title":"Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure Sensors","volume":"8","author":"Ali","year":"2008","journal-title":"Sensors"},{"key":"ref_7","first-page":"596","article-title":"Surface flow velocity of mountain glaciers derived from Landsat-7 ETM+ SLC-OFF images: Extrac-tion and quantitative evaluation: A case study of the Siachen Glacier in the Karakoram","volume":"38","author":"Sun","year":"2016","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_8","first-page":"251","article-title":"Research on Landsat-7 SLC -off Image Restoration Method Based on MODIS09 Data","volume":"39","author":"Zhu","year":"2010","journal-title":"Acta Geod. Cartogr. Sin."},{"key":"ref_9","first-page":"73","article-title":"A Method Using Landsat TM to Fill Gapsin ETM+ SLC of Images","volume":"28","author":"Hou","year":"2013","journal-title":"Remotes Sens. Inf."},{"key":"ref_10","first-page":"368","article-title":"Application and Research on the Recovery of Landsat-7 SLC-off Images Based on ARL","volume":"17","author":"Shou","year":"2006","journal-title":"J. Optoelectron. Laser"},{"key":"ref_11","unstructured":"Han, T., Goodenough, D.G., and Dyk, A. (2002, January 24\u201328). Detection and Correction of Abnormal Pixels in Hyperion Images. Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, Toronto, ON, Canada."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1109\/TGRS.2003.813214","article-title":"Processing Hyperion and ALI for Forest Classification","volume":"41","author":"Goodenough","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","first-page":"3","article-title":"Method Research on Destriping Hyperion Image Noise","volume":"29","author":"Gao","year":"2014","journal-title":"Remote Sens. Inf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.rse.2012.12.012","article-title":"Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method","volume":"131","author":"Zeng","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_15","first-page":"125","article-title":"A Local Spectral-Spatial Similarity Measure (LS3M) for Bad Line Correction in Hyperion Hyperspectral Data","volume":"25","author":"Shen","year":"2016","journal-title":"Geomat. Inform. Sci. Wuhan Univ."},{"key":"ref_16","first-page":"36","article-title":"Preprocessing of EO-1 Hyperion Hyperspectral Data","volume":"6","author":"Tan","year":"2005","journal-title":"Remote Sens. Inf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1016\/j.rse.2010.12.010","article-title":"A simple and effective method for filling gaps in Landsat EMT plus SLC-off image","volume":"115","author":"Chen","year":"2011","journal-title":"Remotes Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Strong, C., and Golden, K.M. (2016). Filling the Polar Data Gap in Sea Ice Concentration Fields Using Partial Differential Equations. Remote Sens., 8.","DOI":"10.3390\/rs8060442"},{"key":"ref_19","first-page":"1319","article-title":"Regional Texture Synthesis Based Image Inpainting","volume":"31","author":"Fu","year":"2009","journal-title":"J. Electron. Inf. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zou, H., Qin, X., Zhou, S., and Ji, K. (2016). A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution. Sensors, 16.","DOI":"10.3390\/s16071107"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Yin, G., Mariethoz, G., and McCabe, M.F. (2017). Gap-Filling of Landsat 7 Imagery Using the Direct Sampling Method. Remote Sens., 9.","DOI":"10.3390\/rs9010012"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"5339","DOI":"10.1080\/01431160601034902","article-title":"A multi-scale segmentation approach to filling gaps in Landsat EMT + SLC-off images","volume":"28","author":"Maxwrll","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","first-page":"123","article-title":"Comparison Analysis of Bad Pixel Repair Methods for EO-1 Hyperion","volume":"37","author":"Yu","year":"2009","journal-title":"J. Northeast For. Univ."},{"key":"ref_24","first-page":"33","article-title":"The Impact of the Scan Lines Corrector Malfunction on Landsat-7 Imagery Data and the Processing Methods","volume":"2","author":"Lin","year":"2005","journal-title":"Remote Sens. Inf."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2595","DOI":"10.3390\/rs4092595","article-title":"Overcoming Limitations with Landsat Imagery for Mapping of Peat Swamp Forests in Sundaland","volume":"4","author":"Wijedasa","year":"2012","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ding, C., Feng, G., Li, Z., Shan, X., Du, Y., and Wang, H. (2016). Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements. Remote Sens., 8.","DOI":"10.3390\/rs8110937"},{"key":"ref_27","first-page":"125","article-title":"Lagrange Average Interpolation Method","volume":"25","author":"Fu","year":"2007","journal-title":"Nat. Sci. J. Hainan Univ."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/4\/935\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:33:16Z","timestamp":1760207596000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/4\/935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,24]]},"references-count":27,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,4]]}},"alternative-id":["s17040935"],"URL":"https:\/\/doi.org\/10.3390\/s17040935","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2017,4,24]]}}}