在python中重新调整适合图像的大小

Question

I have 5 astronomy images in python, each for a different wavelength, therefore they are of different angular resolutions and grid sizes and in order to compare them so that i can create temperature maps i need them to be the same angular resolution and grid size.

I have managed to Gaussian convolve each image to the same angular resolution as the worst one, however i am having trouble finding a method to re-grid each image in python and wondered if anyone knew how to go about doing this?

I wish to re-grid the images to the same grid size as the worst quality image and so i can use that as a reference image if required. Thank you

Answer 1

如果图像标题具有正确的世界坐标系数据，则可以使用reproject包重新采样图像： http ： //reproject.readthedocs.org/en/stable/

Answer 2

You can use FITS_tools ( https://pypi.python.org/pypi/FITS_tools , it can also be installed via $ pip install FITS_TOOLS in the anaconda distribution of python). Both images must have wcs in the header information.

import FITS_tools
to_be_projected = 'fits_file_to_be_projected.fits'
reference_fits  = 'fits_file_serving_as_reference.fits'
im1,im2 = FITS_tools.match_fits(to_be_projected,reference_fits)

It returns: Two images projected into the same space, and optionally the header used to project them. Once installed, you can do help(FITS_tools.match_fits) for more information.