The Use of LSTM-Based RNN and SVM Models to Detect Ludian Coseismic Landslides in Time Series Images
The Use of LSTM-Based RNN and SVM Models to Detect Ludian Coseismic Landslides in Time Series Images
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Publisher
Bristol: IOP Publishing
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English
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Publisher
Bristol: IOP Publishing
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Contents
With the increase of temporal frequency of satellite images, time series analysis based on Artificial Neural Network has become a tendency to detect land cover changes in images. We briefly introduces a case study that uses Long-Short Term Memory (LSTM), a specific Recurrent Neural Network (RNN) for time series modelling and forecasting, and Suppor...
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The Use of LSTM-Based RNN and SVM Models to Detect Ludian Coseismic Landslides in Time Series Images
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TN_cdi_proquest_journals_2570950706
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2570950706
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ISSN
1742-6588
E-ISSN
1742-6596
DOI
10.1088/1742-6596/1631/1/012085
