Applying Model Parameters as a Driving Force to a Deterministic Nonlinear System to Detect Land Cover Change.

IEEE Transactions on Geoscience and Remote Sensing(2017)

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摘要
In this paper, we propose a new method for extracting features from time-series satellite data to detect land cover change. We propose to make use of the behavior of a deterministic nonlinear system driven by a time-dependent force. The driving force comprises a set of concatenated model parameters regressed from fitting a model to a Moderate Resolution Imaging Spectroradiometer time series. The g...
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关键词
Feature extraction,Time series analysis,MODIS,Satellites,Remote sensing,Learning systems,Force
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