The invention provides a space-time quantitative
remote sensing fusion method of an arbitrary number of sensors. According to the space-time quantitative
remote sensing fusion method of the arbitrary number of the sensors, quantitative
remote sensing products of the arbitrary number of the sensors are fused to generate a quantitative remote sensing product which is simultaneously provided with highest space-
time resolution rates of the sensors. Firstly, necessary preprocessing is conducted on the quantitative product. Secondly, uncertainty of scale difference of the quantitative products of different sensors is expressed accurately, an M
estimation theory is combined to improve intra-class fitting precision, and accordingly spectrum scale difference is expressed accurately. Thirdly, windows are formed and centered in each pixel of each highest space-
time resolution rate product, a similar pixel is screened in the window, and equal-weighted factors such as the spectrum scale difference are combined to construct a space-time fusion model. Finally, a variation framework is adopted to solve. According to the space-time quantitative remote sensing fusion method of the arbitrary number of the sensors, space-time complementary information and
scale transition effect among the different sensors are utilized fully, correct description scale differences such as
land cover types are considered, a fusion result is enabled to be close to a real quantitative product. Meanwhile, any auxiliary data are not required, and the fusion method is easy to achieve.