A method for estimating line ice cover weight based on image texture features is proposed to address the issue that different types of ice cover formed under different environmental conditions can pose different degrees of threat to transmission lines. The line ice cover texture features are first weighted to create a fusion feature, which is then combined with spatial neighborhood information to estimate the thickness of the line ice cover. Next, a weight recognition model is built while taking into account how meteorological factors affect the type of ice cover formation. The results demonstrate that even when the environmental conditions change significantly and the type of generated overburden changes, the model can still estimate the overburden weight more accurately with an average absolute percentage error of only 2.246%.