ee_extra.QA.metrics.CML#
- class ee_extra.QA.metrics.CML(original: Image, modified: Image, reproject: bool = True, **kwargs: Any)[source]#
Calculate band-wise change in mean luminance (CML) between an original and modified image with the same bands. A value of 1 represents no change in luminance.
- 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 CML values as values.
References
- Wang, Z., & Bovik, A. C. (2002). A universal image quality index. IEEE
Signal Processing Letters, 9(3), 81–84. https://doi.org/10.1109/97.995823
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.CML(img1, img2, bestEffort=True).getInfo() {'B2': 0.99552102740279, 'B3': 0.9981158806578726, 'B4': 0.9999671314230874}
- __init__()#
Methods
__init__
()