IEEE Trans Image Process - Detection and restoration of defective lines in the SPOT 4 SWIR band.

Tópicos

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Resumo

This paper presents the categorization and restoration of defective lines developed in pushbroom images. About 100 of the 3000 SPOT 4 SWIR detectors malfunction, which degrades image quality. Conventional methods have difficulties in effectively detecting and restoring defective lines, because they ignore the heterogeneity of the ground surface and the presence of sporadically unstable detectors with gain and offset that vary during a scan. While all defective lines have previously been considered as a single type, here they are categorized into three types according to the variation pattern in the scanning direction: constant defective lines, irregular defective lines, and irrecoverable defective lines. The detection procedure utilizes summed data and standard deviation data that consist of abnormal peaks originating from defective lines and a slowly varying baseline reflecting the surface characteristics within the image. The defective lines are detected by finding abnormal peaks, and classified and restored by using either a moment-matching method or interpolation, depending upon their types. Three SPOT 4 images were used to test and evaluate the performance of the proposed method. From the test results, the constant defective line was the most common type, comprising about 60%, while the irregular defective lines caused serious image degradation because of the difficulty of detecting and classifying them. Commission and omission errors were less than 10% and detection accuracy was higher than 90%. The analysis of signal-to-noise ratio (SNR) showed that the low SNR created by the defective lines was effectively removed. Our method gave a significant improvement of the detection and restoration capability.

Resumo Limpo

paper present categor restor defect line develop pushbroom imag spot swir detector malfunct degrad imag qualiti convent method difficulti effect detect restor defect line ignor heterogen ground surfac presenc sporad unstabl detector gain offset vari scan defect line previous consid singl type categor three type accord variat pattern scan direct constant defect line irregular defect line irrecover defect line detect procedur util sum data standard deviat data consist abnorm peak origin defect line slowli vari baselin reflect surfac characterist within imag defect line detect find abnorm peak classifi restor use either momentmatch method interpol depend upon type three spot imag use test evalu perform propos method test result constant defect line common type compris irregular defect line caus serious imag degrad difficulti detect classifi commiss omiss error less detect accuraci higher analysi signaltonois ratio snr show low snr creat defect line effect remov method gave signific improv detect restor capabl

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