Author: Ahmed MahgoubPublisher:
ISBN:
Category :
Languages : en
Pages : 114
Book Description
To obtain a useful or high resolution spectrum from an Imaging Fourier Transform Spectrometer (IFTS), the scene must be stationary for the duration of the scan. This condition is hard to achieve in many cases due to the relative motion between the instrument and the scene during the scan. This relative motion results in multiple data samples at a given pixel being taken from different sub-areas of the scene, and from which (at best) spectra with low accuracy and resolution can be computed. After a review of IFTS, we present motion estimation algorithms to register the frames of data cubes acquired with a moving IFTS, and from which high accuracy and resolution spectra can be retrieved. We use motion estimation algorithms robust to illumination variations, which are suitable for interferograms. Two scenarios are examined. In the first, there is a global motion between the IFTS and the target. In the second, there are multiple targets moving in different directions in the field of view of the IFTS. After motion compensation, we face an off-axis correction problem. The samples placed on the motion corrected optical path difference (OPD) are coming from different spatial locations of the sensor. As a consequence, each sample does not have the same off-axis distortion. We propose a resampling algorithm to address this issue. Finally the calibration problem in the case of moving IFTS is addressed in the last part of the thesis. A calibration algorithm suitable for data cube of moving IFTS is proposed and discussed. We then register the frames and perform the off-axis correction to obtain high resolution spectra. To verify our results, we apply the algorithms on simulated and experimental data. The comparison between the results with the ground-truth shows promising performance. We obtain spectra with resolution similar to the ground truth spectra (i.e., with data acquired when the IFTS and the scene are stationary).
