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Detection and Restoration of Defective Lines in the SPOT 4 SWIR Band | IEEE Journals & Magazine | IEEE Xplore

Detection and Restoration of Defective Lines in the SPOT 4 SWIR Band


Abstract:

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 de...Show More

Abstract:

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.
Published in: IEEE Transactions on Image Processing ( Volume: 19, Issue: 8, August 2010)
Page(s): 2143 - 2156
Date of Publication: 29 March 2010

ISSN Information:

PubMed ID: 20350855

I. Introduction

The spot 4 satellite has collected images with spatial resolutions of 10 m in panchromatic mode and 20 m in multispectral mode. Its performance has been improved by adding a new short wave infrared (SWIR) spectral band and improving its operational stability. In environmental studies and agriculture, the sensitivity of the SWIR band to the variation of canopy or soil water content creates a strong contrast between soil and vegetation reflectance. It is, thus, easier to identify variations in canopy structure using the SPOT 4 SWIR band. This band is also significant for the discrimination of forest types, the classification of some crops and vegetation areas, estimation of bare soil-vegetation ratios, and detection of forest fires [1]–[5].

References

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