Abstract:
Our aim in this project is specifically to design a system that will automatically
mosaic aerial images. These images may be from a satellite or any other source such as
an Unmanned Aerial Vehicle (UAV). Any such vehicle when sent into air to photograph
a certain area takes several pictures as it flies above. For proper analysis these images
need to be mosaiced in order to create a single bigger picture of the whole area.
The images have areas which overlap or are present in more than one image.
Before all the images are combined these overlaps need to be automatically detected the
images be joined in such a way that the image contains no doubling. The number of
images may be quite large and the matching process may take quite some time. Efficient
algorithms need to be designed and implemented in order to piece together all the
pictures correctly in a short time without much error.
In order to resolve the above difficulties, the techniques of Feature Point
Extraction are used. This relies on accurate detection of image features such as detecting
corners. After the feature points have been extracted we can use the analyzed data to help
us mosaic the images.
The resulting mosaic can be used in a number of ways. Suppose that the same
area is photographed once again. The new pictures can again be analyzed in the same
way to form another mosaic. The two mosaics can then be compared using mathematical
techniques to detect any changes in the area and report to the user. Some examples of
these changes can be construction of a building or the digging of a bunker etc
