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A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images

International Journal of Remote Sensing

By:
, ,
DOI: 10.1080/01431160601034902

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Abstract

On 31 May 2003, the Landsat Enhanced Thematic Plus (ETM+) Scan Line Corrector (SLC) failed, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. We developed a method that uses coincident spectral data to fill the image gaps. This method uses a multi-scale segment model, derived from a previous Landsat SLC-on image (image acquired prior to the SLC failure), to guide the spectral interpolation across the gaps in SLC-off images (images acquired after the SLC failure). This paper describes the process used to generate the segment model, provides details of the gap-fill algorithm used in deriving the segment-based gap-fill product, and presents the results of the gap-fill process applied to grassland, cropland, and forest landscapes. Our results indicate this product will be useful for a wide variety of applications, including regional-scale studies, general land cover mapping (e.g. forest, urban, and grass), crop-specific mapping and monitoring, and visual assessments. Applications that need to be cautious when using pixels in the gap areas include any applications that require per-pixel accuracy, such as urban characterization or impervious surface mapping, applications that use texture to characterize landscape features, and applications that require accurate measurements of small or narrow landscape features such as roads, farmsteads, and riparian areas.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images
Series title:
International Journal of Remote Sensing
DOI:
10.1080/01431160601034902
Volume
28
Issue:
23
Year Published:
2007
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
5339
Last page:
5356
Number of Pages:
18