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ARRSI: Automatic Registration of Remote-Sensing Images
| Citations: | 10 - 1 self |
BibTeX
@MISC{Wong_arrsi:automatic,
author = {Er Wong and Student Member and David A. Clausi and Senior Member},
title = {ARRSI: Automatic Registration of Remote-Sensing Images},
year = {}
}
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Abstract
Remote-Sensing Images (ARRSI); an automatic registration system built to register satellite and aerial remotely sensed images. The system is designed specifically to address the problems associated with the registration of remotely sensed images obtained at different times and/or from different sensors. The ARRSI system is capable of handling remotely sensed images geometrically distorted by various transformations such as translation, rotation, and shear. Global and local contrast issues associated with remotely sensed images are addressed in ARRSI using control-point detection and matching processes based on a phasecongruency model. Intensity-difference issues associated with multimodal registration of remotely sensed images are addressed in ARRSI through the use of features that are invariant to intensity mappings during the control-point matching process. An adaptive control-point matching scheme is employed in ARRSI to reduce the performance issues associated with the registration of large remotely sensed images. Finally, a variation on the Random Sample and Consensus algorithm called Maximum Distance Sample Consensus is introduced in ARRSI to improve the accuracy of the transformation model between two remotely sensed images while minimizing computational overhead. The ARRSI system has been tested using various satellite and aerial remotely sensed images and evaluated based on its accuracy and computational performance. The results indicate that the registration accuracy of ARRSI is comparable to that produced by a human expert and improvement over the baseline and multimodal sum of squared differences registration techniques tested. Index Terms—Image registration, intersensor, intrasensor, invariant descriptor, remote sensing.
Keyphrases
remote-sensing image automatic registration arrsi system sensed image intensity mapping random sample local contrast issue various transformation different sensor invariant descriptor computational performance intensity-difference issue automatic registration system various satellite transformation model control-point detection control-point matching process multimodal sum phasecongruency model index term image registration different time maximum distance sample consensus performance issue human expert squared difference registration technique multimodal registration remote sensing adaptive control-point matching scheme registration accuracy computational overhead
