Feature Based Image Matching For Airborne Platform
In computer vision, detection and tracking of targets is very complex problem and demands sophisticated solutions. Unmanned Aerial Vehicles (UAVs) are increasingly being used for reconnaissance and Surveillance. This framework mainly consists of image matching for reconnaissance and Surveillance. This framework mainly consists of image matching for Digital Scene Matching Area Correlation (DSMAC), Image Registration by using various correlation techniques, Mean Shift Algorithm, Cam shift Algorithm, Otsu Thresholding and Principal Component Analysis (PCA) and using Point detectors like Scale Invariant Feature Transform (SIFT) , Speed Up Robust Feature (SURF) and Saliency Map”.
Keywords- Correlation, Cam shift algorithm, DSMAC, Image registration, Mean shift algorithm, Otsu thresholding, PCA, Saliency Map, SIFT, SURF.