The analysis of C-band SAR backscatter time-series over boreal forests can provide tools for a variety of forestry-related applications, such as the estimation of biophysical attributes (Antropov & Rauste & Häme & Praks, 2017) or the assessment of …
Presentations of 2 posters at LPS 2022 on various applications of Convolutional Autoencoders to SAR time series:
- Convolutional Autoencoder for the unsupervised extraction of fire footprints from Sentinel-1 time-series
- Extraction of variations in …