Airport Aircraft Rapid Matching System
This program implements rapid aircraft identification and localization using known aircraft templates, employing template matching algorithms for efficient real-time processing.
MATLAB Program Design for Image Matching
Image matching can be primarily categorized into intensity-based matching and feature-based matching. The fundamental concept of intensity-based matching is to treat images as two-dimensional signals from a statistical perspective, using statistical correlation methods to find correlations between signals. By utilizing correlation functions between two signals, their similarity is evaluated to identify corresponding points. Intensity-based matching determines correspondence between two images through similarity measures such as correlation functions, covariance functions, sum of squared differences, and sum of absolute differences to find extreme values. Feature-based matching involves extracting features (points, lines, surfaces, etc.) from two or more images, parameterizing these features, and then using the described parameters for matching. This code implements two intensity-based image matching algorithms with MATLAB implementations including template matching using normalized cross-correlation and optimized rapid matching with sliding window techniques.