High-Level Project Summary
Our preferred approach is for you to use the WinJUPOS freeware that is maintained and distributed by the JUPOS planetary tracking group of amateur astronomers in Germany.\• Start the “Recording/Image measurement” module • Load the image • Adjust the outline frame to match Jupiter’s limb • Save the settings • Where possible, ensure that North is facing up • Please use the following preferred naming convention: YYYYMMDD_HHMMSS • Call the “Create transmission package” If you are not new to imaging Jupiter but don’t use this approach yet, you might try making very sharp images by the “lucky imaging” technique, using a video to capture several hundred images of Jupiter in any given filter.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
We will be using python file for image processing to devlope up the system for juno cam image processing.
JunoCam takes snapshots at regular intervals as the Juno probe rotates, producing strip images representing the red, green, and blue light bands. These raw, grayscale images of the red/green/blue (RGB) bands can be downloaded from the JunoCam website and used together to produce color RGB images. The JunoCam website provides different stages of processing—raw framelets (a.k.a. raw “Venetian blind” or striped images), preliminary RGB channel images, and map-projected images (RGB channels combined).
The Juno mission science team strongly encourages mission-supporting observations from both the professional and amateur communities. To help us in our planning during the mission, we are accepting imaging contributions from the amateur community with a point of deposit on the Mission Juno website. Image files can be uploaded onto the site, including those from earlier in the year (e.g the epoch around Jupiter opposition in early February). We will assess our ability to work with the data received, organizing it and transforming it into a form most useful for the Juno science team. We will accept data in any form and using any filters that are available to each contributor. We note that images that will be most valuable for us should not be in a destructively compressed format. If at all possible, render them in TIF or PNG (or FITS) formats that preserve the linearity of the detector response. JPEG or GIF formats destroy the linearity, so please avoid these. Send us the information on who made the image, where it was made, what date and time, and which filter was used or whether a color camera was used. Send us a “sharpened” image, if you wish, but we request also an image that has not been subject to any processing. This will make is easier for us to use the same approach on several different types of images during the same epoch.
Space Agency Data
We got the data from the Junocam official website. We downloaded the dataset and then processed the data from it.
Hackathon Journey
It was a wonderful hackathon, we learned alot about the jupiter planet by this project. It's experience was truly amazing.
References
Throughout the tenure of this project we referred to afew of sites like:
- https://www.youtube.com/watch?v=unxTeSgAiRE&t=145s
- https://www.missionjuno.swri.edu/junocam/processing
- https://www.gimp.org/
- https://github.com/aaniksahaa/Images-Junocam
Tags
#Software #junocam