IFT’s IMADE uses perfect a priori knowledge of target geometry to determine target attitude/pose. This software solution is applied to ground-based images of in-flight missiles in arbitrary cluttered backgrounds. It takes advantage of state-of-the-art segmentation algorithms, known 3D models of the target, and a single view of the target in motion. IMADE cultivates a rich dataset to enable both model-based and deep neural network-based methods. It utilizes classical and machine learning-based segmentation, and image-based & model-based target attitude determination. It is ready to be expanded to a multi-view solution.