Emiliano Carmona

Orcid: 0009-0008-8998-7310

According to our database1, Emiliano Carmona authored at least 24 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Online presence:

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Bibliography

2023
EnMap Geometric Processing and Geometric Performance after One Year of Acquisitions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Atmospheric Correction of DESIS and EnMAP Hyperspectral Data: Validation of L2a Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Introducing DLR Hysu - A Benchmark Dataset for Spectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Calibration and Validation of the Hyperspectral Mission EnMAP: Results of The Commissioning Phase.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
The Spaceborne Imaging Spectrometer Desis: Data Access, Outreach Activities, and Scientific Applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Vicarious Calibration of The Desis Imaging Spectrometer: Status and Plans.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
DLR HySU - A Benchmark Dataset for Spectral Unmixing.
Remote. Sens., 2021

Analysis-Ready Data from Hyperspectral Sensors - The Design of the EnMAP CARD4L-SR Data Product.
Remote. Sens., 2021

The Spaceborne Imaging Spectrometer Desis: Data Access and Scientific Applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Vicarious Calibration of the DESIS Imaging Spectrometer.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
PACO: Python-Based Atmospheric Correction.
Sensors, 2020

Data Validation of the DLR Earth Sensing Imaging Spectrometer DESIS.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

The Instrument Design of the DLR Earth Sensing Imaging Spectrometer (DESIS).
Sensors, 2019

Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS).
Sensors, 2019

Differences and Similarities in the Processing of Airborne and Spaceborne Hyperspectral Data Shown on HySpex and EnMap Processing Chains.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

First Results of the DESIS Imaging Spectrometer On Board the International Space Station.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Enmap Ground Segment Integration and Technical Verification: Design and Current Status.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Processing, Validation And Quality Control Of Spaceborne Imaging Spectroscopy Data From Desis Mission on the Iss.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Status Report of the Enmap Ground Segment: Presentation of the Design and the Changes Recently Accomplished.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Combining Deep and Shallow Neural Networks with Ad Hoc Detectors for the Classification of Complex Multi-Modal Urban Scenes.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
The hyperspectral sensor DESIS on MUSES: Processing and applications.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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