Accurate and reliable detection of unique objects is an important component of an image understanding system. The objects are considered to have a unique pattern and should be recognized based upon their own characteristics. An object detection approach applicable to high resolution aerial images is developed in the paper. The methodologies incorporate features such as minimal sensitivity to the backgrounds on which objects may appear, ability to detect objects appearing in arbitrary orientations, and use of a unified set of operators to analyze various levels of details. Specifically, the gray-level co-occurrence matrix is used to provide the early vision operators. Results of several experiments show promise for the proposed methods. The methods can constitute an important part of an object identification system in which use of such properties as object size, shape, reflectance, etc., is possible.