ZHANG Bingxiao, WANG Mi, PAN Jun. High Precision Image Restoration Based on Kalman Filter for Optical Remote Sensed Images[J]. Geomatics and Information Science of Wuhan University, 2015, 40(7): 964-970. DOI: 10.13203/j.whugis20130123
Citation: ZHANG Bingxiao, WANG Mi, PAN Jun. High Precision Image Restoration Based on Kalman Filter for Optical Remote Sensed Images[J]. Geomatics and Information Science of Wuhan University, 2015, 40(7): 964-970. DOI: 10.13203/j.whugis20130123
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High Precision Image Restoration Based on Kalman Filter for Optical Remote Sensed Images

    Abstract
  • HighprecisionMTFmeasurementisthebasisofhighqualityimagerestoration.Giventhepresenceofnoiseinimagesandvibrationfromthepayload,traditionalMTFmeasurementbasedonthetargetimagewillproduceabiasedresult,andthebiasedresultwillintroducenewnoiseafterim agerestoration.Inthispaper,basedonanalysisofcharacteristicsandlimitationsoftraditionalimagerestorationmethod,weproposeanimagerestorationapproachbasedonhighprecisionMTFmeasure mentusingtheKalmanfilter.ThisapproachfirstlyusesGuassianfittingtoobtaintheoreticalvalueofthelinespreadfunctionfromthemeasuredvalue,thenitusestheKalmanfiltertoobtainthetrueval ueofthelinespreadfunctionfromtheoreticalvalueandmeasuredvalue.ExperimentsonTDI CCDimagesshowthattheapproachproposedinthispaperyieldbetterperformancethantraditionalimagerestoration,especiallyforthewaterareaswhichcontainlesstextureandcityareaswhichcontainsrichtexture.
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