A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight

09/12/2019
by   Alessandro Bruno, et al.
12

EUSO-SPB1 was released on April 24th, 2017, from the NASA balloon launch site in Wanaka (New Zealand) and landed on the South Pacific Ocean on May 7th. The data collected by the instruments onboard the balloon were analyzed to search UV pulse signatures of UHECR (Ultra High Energy Cosmic Rays) air showers. Indirect measurements of UHECRs can be affected by cloud presence during nighttime, therefore it is crucial to know the meteorological conditions during the observation period of the detector. During the flight, the onboard EUSO-SPB1 UCIRC camera (University of Chicago Infra-Red Camera), acquired images in the field of view of the UV telescope. The available nighttime and daytime images include information on meteorological conditions of the atmosphere observed in two infra-red bands. The presence of clouds has been investigated employing a method developed to provide a dense cloudiness map for each available infra-red image. The final masks are intended to give pixel cloudiness information at the IR-camera pixel resolution that is nearly 4-times higher than the one of the UV-camera. In this work, cloudiness maps are obtained by using an expert system based on the analysis of different low-level image features. Furthermore, an image enhancement step was needed to be applied as a preprocessing step to deal with uncalibrated data.

READ FULL TEXT

page 1

page 4

page 5

page 6

page 7

research
02/16/2023

Vision-Based Terrain Relative Navigation on High-Altitude Balloon and Sub-Orbital Rocket

We present an experimental analysis on the use of a camera-based approac...
research
09/30/2009

Improvements of the 3D images captured with Time-of-Flight cameras

3D Time-of-Flight camera's images are affected by errors due to the diff...
research
05/23/2005

The Cyborg Astrobiologist: Scouting Red Beds for Uncommon Features with Geological Significance

The `Cyborg Astrobiologist' (CA) has undergone a second geological field...
research
04/02/2023

Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images using Deep Learning Techniques

This paper aims to detect rice field damage from natural disasters in Ba...
research
04/02/2019

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

Guided super-resolution is a unifying framework for several computer vis...
research
03/26/2022

Reverse Engineering of Imperceptible Adversarial Image Perturbations

It has been well recognized that neural network based image classifiers ...

Please sign up or login with your details

Forgot password? Click here to reset