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TitleNovel method for reprojection of MODIS level 1B images based on concurrent gradient search
 
AuthorKhlopenkov, K V; Trishchenko, A PORCID logo; Luo, Y
SourceImage and Signal Processing for Remote Sensing XII; by Bruzzone, L (ed.); Proceedings of SPIE, the International Society of Optical Engineering vol. 6365, 636506, 2006, 9 pages, https://doi.org/10.1117/12.689185
LinksDonnées MODIS Data - NASA Distributed Data Archive Center (DAAC)
Image
Year2006
Alt SeriesEarth Sciences Sector, Contribution Series 20060209
PublisherSPIE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
SubjectsNature and Environment
ProgramCanadian Space Agency, Government Related Initiative Program (GRIP)
ProgramEnhancing resilience in a changing climate
AbstractA novel algorithm to address the reprojection of MODIS level 1B imagery is proposed. The method is based on the simultaneous 2D search of latitude and longitude fields using local gradients. In the case of MODIS, the gradient search is realized in two steps: inter-segment and intra-segment search, which helps to resolve the discontinuity of the latitude/longitude fields caused by overlap between consecutively scanned MODIS multi-detector image segments. It can also be applied for reprojection of imagery obtained by single-detector scanning systems, like AVHRR, or pushbroom systems, like MERIS. The structure of the algorithm allows equal efficiency with either the nearest-neighbor or the bilinear interpolation modes.
Keywords: MODIS, satellite, georeferencing, reprojection, gradient search.
GEOSCAN ID222675

 
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