Search results for "Land cover classification"

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Nonlinear Time-Series Adaptation for Land Cover Classification

2017

Automatic land cover classification from satellite image time series is of paramount relevance to assess vegetation and crop status, with important implications in agriculture, biofuels, and food. However, due to the high cost and human resources needed to characterize and classify land cover through field campaigns, a recurrent limiting factor is the lack of available labeled data. On top of this, the biophysical–geophysical variables exhibit particular temporal structures that need to be exploited. Land cover classification based on image time series is very complex because of the data manifold distortions through time. We propose the use of the kernel manifold alignment (KEMA) method for…

domain adaptationComputer science0211 other engineering and technologies02 engineering and technologyLand coverNormalized Difference Vegetation IndexVegetation coverkernel methods0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringTime series021101 geological & geomatics engineeringRemote sensingManifold alignment[SHS.STAT]Humanities and Social Sciences/Methods and statisticsbusiness.industryVegetation15. Life on landGeotechnical Engineering and Engineering GeologyKernel methodKernel (image processing)Agriculturemanifold alignment020201 artificial intelligence & image processingSatellite Image Time SeriesLand cover classificationtime seriesScale (map)businessIEEE Geoscience and Remote Sensing Letters
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