ee_extra.QA.metrics.CC#
- class ee_extra.QA.metrics.CC(original: Image, modified: Image, reproject: bool = True, **kwargs: Any)[source]#
Calculate band-wise correlation coefficient (CC) between an original and modified image with the same bands. A value of 1 represents perfect correlation.
- Parameters:
original – The original image to use as a reference.
modified – The modified image to compare to the original.
reproject – If true, the original image will be reprojected to the modified image scale before calculation.
kwargs – Additional keyword arguments passed to ee.Image.reduceRegion.
- Returns:
A dictionary with band names as keys and CC values as values.
References
Gonzalez, R. C., & Woods, R. E. (2018). Digital Image Processing. Pearson.
Examples
>>> from ee_extra.QA import metrics >>> bands = ["B4", "B3", "B2"] >>> img1 = ee.Image("COPERNICUS/S2_SR/20210703T170849_20210703T171938_T14SPG").select(bands) >>> img2 = ee.Image("COPERNICUS/S2_SR/20210708T170851_20210708T171925_T14SPG").select(bands) >>> metrics.CC(img1, img2, bestEffort=True).getInfo() {'B2': 0.21228665943220423, 'B3': 0.02972520903338099, 'B4': 0.06995703183852472}
- __init__()#
Methods
__init__
()