SAR image change detection method based on quantum-inspired immune clone

Abstract

The invention discloses an SAR image change detection method based on quantum-inspired immune clone, which mainly solves the problems of long time consumption, easy falling into local optimal solution, and inaccurate positioning of complex image borders in the prior optimizing method. The method comprises the following steps: (1) filtering the two time-phase to-be-changed detection images, and calculating the logarithmic ratio difference striograph; (2) setting the population size, class number k and halt conditions, and randomly generating a quantum antibody Q(t) as the initial clustering center; (3) observing Q(t) into a binary antibody p(t), calculating the affinity fk of each antibody, and reserving the optimal antibody qbest of Q(t); (4) carrying out mutation operation on Q(t) to obtain Qm(t); (5) recombining Qm(t) to obtain Qc(t); (6) observing Qc(t) into a binary antibody pc(t), and calculating the affinity fc of each antibody; (7) selectively operating pc(t) to obtain the filial generation antibodies; and (8) if the filial generation antibodies satisfy the halt conditions, dividing the image class corresponding to the antibody with the highest affinity in the filial generation antibodies as the output result. The invention has the advantages of high change detection precision and accurate border positioning, and can be used for detecting changes of complex images.

Description

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AI Technical Summary

Benefits of technology

The technical effects described by this patented technology include faster searching and improved efficiency during cluster analysis compared to previous methods while also improving the quality of detected changes over different types of imagery. Quantum Immunity Clusters (QIC) algorithms use qubits or other means to encode digital signals without losing their original properties when they cross borders. This allows QIAC markers to detect any changes more efficiently even if there may exist multiple versions of them simultaneously. Additionally, quantum entanglement techniques help create strong connections among groups of atoms called sub-populations through which molecules move freely. By combining these strategic actions, researches showed how changing conditions affect both the structure and behavior of biological systems like cells, resulting in significant improvements in cellular processes such as gene expression regulated signal transduction pathways. Overall, this method provides effective tools for analyzing large amounts of data from various sources including medical scans and computerized tomography (CT).

Problems solved by technology

This patents discusses three technical ways that have been developed over recent years - including changes detected through radar imagery (SAR) techniques like synthetic aperture radars or ground based systems. These new technologies provide faster and easier access than previous generations' analogue equipment but they may result in incorrect identification due to environmental factors such as weather conditions or clouds. Therefore, these advancements aimed at improving accuracy and efficiency in detecting changes between periods without relying solely upon external sources.

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