I am more a cartographer than an image analyst, but I think most scientific references you'll find on this topic will be in text books or reference material, since this problem reduces more or less to counting pixels (along with attendant issues such as how much of a pixel is covered in order to classify the pixel as the object, which is directly related to the point-spread function of the sensor, as @randouxju has mentioned).
See, for example:
Köhl, M., Magnussen, S. S., & Marchetti, M. (2006). Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory. Springer Science & Business Media. --see pg 22.
Much of this is essentially a sampling problem, so literature on the Nyquist-Shannon Sampling Theorem (aka the Sampling Theorem, Nyquist Sampling Theorem, etc.) will be relevant. One such paper in cartography:
Tobler, W. R. (1988). Resolution, resampling, and all that. In H. Mounsey & R. F. Tomlinson (Eds.), Building Databases for Global Science: the proceedings of the first meeting of the International Geographical Union Global Database Planning Project (pp. 129–137). Hampshire, U.K.: Taylor and Francis.
There is nothing wrong with citing Russian (or any foreign-language) sources in English papers, by the way!