The document discusses a new unsupervised algorithm-level fusion scheme (UAFS-HCD) aimed at improving pixel-based change detection accuracy in multitemporal SAR flood images by incorporating spatial context information from object-based methods. The proposed approach enhances traditional methods by eliminating unchanged areas and combining results for final change detection, demonstrating improved efficiency and accuracy over existing techniques. It also outlines hardware and software requirements for implementation, along with a project flow for developing the proposed method.