Mar 5, 2024 · We propose to integrate RTMs into an auto-encoder architecture, creating an end-to-end learning approach. Our method not only corrects biases in RTMs but also ...
Mar 5, 2024 · We have developed an end-to-end method for extracting biophysical variables from satellite spectra. We integrated a complex radiative transfer ...
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model ... Advances in machine learning have boosted the use of Earth ...
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model · 1 code implementation • 5 Mar 2024 • Yihang She, Clement ...
Keshav, “From Spectra to Biophysical Insights; End-to-End Learning with a Biased Radiative Transfer Model”, Proc. ICLR CCAI Workshop, May 2024. (The link is ...
Dec 9, 2024 · A promising alternative to real-world data collection is the incorporation of spectral data simulated by radiative transfer models (RTM). RTMs ...
From spectra to biophysical insights: end-to-end learning with a biased radiative transfer model ( Poster ) >. Yihang She · Clement Atzberger · Andrew Blake ...
我们提出将RTM 集成到自编码器架构中，创建一个端到端的学习方法。我们的方法不仅可以纠正RTM 中的偏差，而且在变量检索方面也优于神经网络回归等传统技术。此外，我们的框架 ...
Dec 9, 2024 · We assess various classical vegetation indices, machine learning models, and a physics-informed 3D radiative transfer model. While cross ...
Dec 27, 2023 · Radiative transfer models (RTMs) provide reliable information about crop yield and traits with high resource efficiency.