Feature Based Image Matching for Airborne Platform
نویسندگان
چکیده
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”. KeywordsCorrelation, Cam shift algorithm, DSMAC, Image registration, Mean shift algorithm, Otsu thresholding, PCA, Saliency Map, SIFT, SURF.
منابع مشابه
Contourlet-Based Edge Extraction for Image Registration
Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
متن کاملEvaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملMethod of Airborne Sar Image Match Integrating Multi- Information for Block Adjustment
For the automation of SAR image Block Adjustment, this paper proposed a method of SAR image matching integrating multiinformation. It takes full advantage of SAR image geometric information, feature information, gray-related information and external auxiliary terrain information for SAR image matching. And then Image Tie Points (ITPs) of Block Adjustment can be achieved automatically. The main ...
متن کاملPerformance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching
Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...
متن کاملEvaluation of Multiple-domain Imagery Matching Based on Different Feature Spaces
This paper is focused on analyzing the performance of various matching methods that could be applied to multipledomain imagery matching for photogrammetric and remote sensing purpose. More precisely, the matching between the LiDAR intensity imagery and optical satellite/airborne image domains is of interest, which is a challenging task due to substantial differences such as dissimilarity in sen...
متن کامل