The word morphology represents a branch of biology, which deals with the form and structure of animals and plants. Mathematical morphology, in the same context, is a tool for obtaining image structures that are helpful in identifying region shape, boundaries, skeletons etc. It is completely based on crisp set theory. Fuzzy set, in contrast to crisp
set, is a set whose boundary is not sharp, or precise. This paper proposes a structure based separation approach of image objects using fuzzy extension of morphology. Using logical operators in fuzzy context, we apply alpha cut morphological processing for cleaning, background subtraction and edge detection. The proposed scheme can be used for many applications like segmentation, thinning and object recognition. We particularly employ fuzzy morphology to aerial images to identify various structures/objects like runways etc. In battlefield, it facilitates to identify friendly and enemy forces and structures. The identification of structural objects is also important in surveys of areas where geographic changes have occurred due to natural disasters.