3 papers
cs.CV2026
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…
physics.data-an2023
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…
astro-ph.IM2018
Multiband galaxy morphologies for CLASH: a convolutional neural network transferred from CANDELS
Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Monserrat Martinez-Marín +5
We present visual-like morphologies over 16 photometric bands, from ultra-violet to near infrared, for 8,412 galaxies in the Cluster Lensing And Supernova survey with Hubble (CLASH…