Publication: Panoramic image matching method for UAV remote sensing based of sift algorithm
Date
2014
Authors
Emran Izzuddin Mohd Suib
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Abstract
Unmanned Aerial Vehicles (UAVs) are usually equipped with payloads that include multispectral digital cameras. These cameras provide operators the opportunity to monitor terrain, carry out reconnaissance mission from a distant ground station without endangering UAV operators or commonly known as remote sensing. Remote sensing technology on UAVS is widely used in today's surveillance system, however there are technical challenges that exist. The problem often arises where large sequences or sets images taken from the UAV cameras that being send and received by the operators on the ground station are too many, field-of-view (FOV) of a single image is very limited and can cause the operators to become overwhelmed to identify the images. This problem can be rendered down by implementing Scale Invariant Feature Transform (SIFT) algorithm on the images so that operators can analyze the images more efficiently. In this paper, SIFT algorithm will be simulated in MATLAB to show its capability in solving the FOV issues by stitching and matching the images because of its robustness and accuracy in extracting keypoints. Finally, satisfactory results are obtained.
Description
TA1637.E47 2014
Keywords
Vehicles , Image processing