The invention provides a processing method for a ground penetrating radar image based on singular value decomposition and a fuzzy C-means method. The processing method comprises steps of performing preliminary singular value decomposition on data X collected by a ground penetrating radar; performing singular value decomposition on a target image Y to obtain a new target image decomposition formula; giving a calculation method of a loss function in a fuzzy C-means algorithm; determining number of target classifications n and membership index c in a fuzzy C-means algorithm flow, determining number of algorithm iterations T, and setting a variable t; initializing a membership value; calculating a value of an initial clustering center C1 based on the generated membership value; calculating theloss function Jc based on the membership value and the value of the clustering center; repeating the above steps until the value of [Delta]Jc is less than a given value or the number of cycles reaches a set value after updating C1; using the membership value and a singular value of the obtained target image in combination with an expression of the target image to obtain the target image. The present invention filters out clutter signals and noise signals in the data, and can effectively enhance target signals.