Spectral Matching Imager Using Correlation Image Sensor

Three-phase quadrature spectral matching imager using correlation image sensor and wavelength-swept monochromatic illumination

Hyperspectral Image Analysis for Material Mapping Using Spectral Matching

Recently, hyperspectral image analysis has obtained successful results in information extraction for earth remote sensing system. The data produced with this type of analysis is an important component of geographic databases. The domain of interest of such data covers a very large area of applications like target detection, pattern classification, material mapping and identification, etc. Mater...

Vehicle Logo Recognition Using Image Matching and Textural Features

In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...

Color Image Registration and Template Matching Using Quaternion Phase Correlation

Due to mathematical limitations, conventional phase correlation technique can only be applied to grayscale images or at most complex images. A full colour image must be first converted to a grayscale image before performing the phase correlation, during which the luminance information has been wasted. In this paper, an extension of the phase correlation technique to the quaternion field , based...

improvement of terrasar-x image matching using textural image features

nowadays, sar imaging systems have become more interesting for scientists. high spatial resolution of recent sar images has become a key factor for their accurate applications such as interferometry, radargrammetry and change detection. in these applications, sar image matching procedure is a critical step for conjugate point extraction which is much more difficult than the optical images. the ...