MLR is a basic regression approach often used for modeling the relationship between response variables such as GSV or forest biomass and SAR and optical image�...
Aug 9, 2023 � In this study, we perform a model transfer (or domain adaptation) of a pretrained DL model into a target area using plot-level measurements and compare�...
Oct 12, 2023 � Deep learning (DL) models are gaining popularity in forest variable prediction using Earth observation (EO) images.
The examined SeUNet model uses multi-source EO data to predict forest height. Here, EO data are represented by a combination of Copernicus Sentinel-1 C-band SAR�...
Sep 6, 2024 � Transfer learning facilitates expansion of the use of deep learning models into areas with sub-optimal training data by allowing pretraining of�...
Fingerprint. Dive into the research topics of 'Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images'.
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images. January 1, 2023. Result detail. Connect with us�...
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images. Remote Sens. 2023, 15, 5152. https://doi.org/10.3390�...
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This study examines the potential of single high resolution X-band synthetic aperture radar (SAR) and optical images for pixel-wise mapping of four forest�...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.