In Astronomy, sometimes the images send by satellite/telescope could be Blur and one would be interested to make the image Sharpe. The Kernel (it is matrix representation) is to process the image -from Blur image to Sharpe Image. Convolution Matrix, Mask, Matrix/Array are the other names given to the Kernel. Below is the example of Mars Surface Blur Image Image Credit: NASA/JPL-Caltech Below is the processed image which has now become Sharpe Image Please open both images to see the effect.7 Below is the python code used. ****************************************************************** # load the required packages import cv2 import numpy as np # load the image into system memory image = cv2.imread('E:\\astronomy_related\\blurr_to_clear_image\\marssurface_blurr.jpg', flags=cv2.IMREAD_COLOR) # display the blurr image to the screen cv2.imshow('Mars Surface blurr...
Note - Content is free but you may have to pay for certificate. There are many astronomy courses , refer to below link- https://www.coursera.org/search?query=astronomy&=
Below is Python Output & Code to "Plot position of planets on RA-DEC Grid". Change the Setting parameters - Longitude, Latitude and Time. The comments "#" gives short description of the code. You may need to install the required libraries. *************************************************************************** from astropy.coordinates import EarthLocation, AltAz, get_sun, get_moon, solar_system_ephemeris, get_body from astropy.time import Time import astropy.units as u import matplotlib.pyplot as plt def plot_planet_positions(date_time, latitude, longitude): # Define observer's location observer_location = EarthLocation(lat=latitude*u.deg, lon=longitude*u.deg, height=0*u.m) # Define the time of observation observing_time = Time(date_time) # List of planets planets = ['mercury', 'venus', 'earth', 'mars', 'jupiter', 'saturn', 'uranus', 'neptu...
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