06-03-2013, 10:11 AM
Some terms of reference in data fusion
Some terms.pptx (Size: 78.24 KB / Downloads: 16)
INTRODUCTION
Several definitions can be found in the literature.
Pohl, Van Genderen [3] proposed « image fusion is the combination of two or more different images to form a new image by using a certain algorithm », which is restricted to images.
Mangolini [4] extends data fusion to information in general and also refers to quality. He defines data fusion as a « set of methods, tools and means using data coming from various sources of different nature, in order to increase the quality (in a broad sense) of the requested information ».
Hall, Llinas [5] also refer to information quality in their definition but still focus on the methods: « data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracy and more specific inferences that could be achieved by the
The US Department of Defence [1] stated that « data fusion is a multilevel, multifaceted process dealing with the automatic detection, association, correlation, estimation, and combination of data and information from multiple sources ». use of a single sensor alone ».
Multispectral image (Add more points)
A multispectral image is one that capture image data at specific frequencies across the electromagnetic spectrum.
Images taken at different wavelengths can be combined to make composite images by displaying the image for each wavelength as red, green, or blue in the final image. These composite images result in color patterns that can be used to identify surface features