A MULTI-SCALE SEGMENTATION APPROACH TO FILLING GAPS IN LANDSAT ETM+ SLC-OFF IMAGES THROUGH PIXEL WEIGHTING

Filling Landsat ETM+ SLC-off Gaps Using a Segmentation Model Approach

he purpose of this article is to present a methodology for filling Landsat Scan Line Corrector (SLC)-off gaps with same-scene spectral data guided by a segmentation model. Failure of the SLC on the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) instrument resulted in a loss of approximately 25 percent of the spectral data. The missing data span across most of the image with scan gaps varying in...

Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach

International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach C. Zhang a; W. Li a; D. Travis b a Department of Geography, Kent State University, b Department of Geography and Geology, Universit...

Survey on Gap Filling Algorithms in Landsat 7 Etm+ Images

In remote sensing images the gapping is a known phenomenon. There are several reasons for image gaps, e.g. shadowed area for SAR data sets, cloud coverage for optical imagery and instrument errors such as SLC-off failure. On May 13, 2003 the Scan Line Corrector (SLC) of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed permanently causing around 20% of pixels per scene not scanned wh...

Making Use of the Landsat 7 SLC-off ETM+ Image Through Different Recovering Approaches

comparison of gap filling methods in landsat 7 etm+ images to estimate crop coefficient

landsat 7 etm+ data is widely used in studies of the spatial distribution kc and vegetation cover parameters in regional and global scales but slc failure has greatly reduces its usefulness. additionally, the failure is permanent and has failed subsequent attempts to recover the slc, so required and practical way to address this problem is filling the pixels of missed data in the slc-off images...