1 citations · 2 across the 3 of their papers we have counts for
3 papers
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
Manuel Pérez-Carrasco, Maya Nasr, Zhan Zhang +16
Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learn…
Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
Manuel Perez-Carrasco, Maya Nasr, Sebastien Roche +12
Effective cloud and cloud shadow detection is a critical prerequisite for accurate retrieval of concentrations of atmospheric methane (CH4) or other trace gases in hyperspectral re…
Hyperspectral shadow removal with Iterative Logistic Regression and latent Parametric Linear Combination of Gaussians
Core Francisco Park, Maya Nasr, Manuel Pérez-Carrasco +3
Shadow detection and removal is a challenging problem in the analysis of hyperspectral images. Yet, this step is crucial for analyzing data for remote sensing applications like met…