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Sivakumar, Ramamoorthy
- Retrieval of Deformation Fields by Using Stochastic Mutual Information Based Optimization in Automatic Registration of Satellite Images
Abstract Views :162 |
PDF Views:2
Authors
Affiliations
1 ODPD/SIPG, Space Applications Centre, Indian Space Research Organisation, Gujarat, IN
2 Department of Civil Engineering, SRM Institute of Science and Technology, IN
1 ODPD/SIPG, Space Applications Centre, Indian Space Research Organisation, Gujarat, IN
2 Department of Civil Engineering, SRM Institute of Science and Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 3 (2018), Pagination: 1686-1692Abstract
Modeling and retrieving the transform parameters that characterize the underlying deformation field is the main crux of the problem in automatic image registration domain which involves employing a similarity measure in an image pair and a robust model estimator. Model estimators can be either a least square fit or an optimization method which finds minimum of a cost function. In this work, a stochastic mutual information based adaptive gradient descent optimizer is proposed in which transforms such as translation, affine and free form deformations are accurately retrieved in the process of image registration and only a percentage of population of intensities is used to estimate mutual information without losing accuracy in a stochastic way. Better than one tenth of a pixel accuracy is achieved in image registration by retrieving different geometric transformations accurately.Keywords
Mutual Information, Image Registration, Optimization, Deformation, Transforms.
References
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- Comparison of Contour Feature Based and Intensity Based Insat-3D Met Images Coregistration for Sub Pixel Accuracies
Abstract Views :244 |
PDF Views:5
Authors
Affiliations
1 Space Applications Centre, ISRO, Gujarat, IN
2 Department of Civil Engineering, SRM University, IN
1 Space Applications Centre, ISRO, Gujarat, IN
2 Department of Civil Engineering, SRM University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 4 (2018), Pagination: 1731-1738Abstract
Image registration in meteorological images that are acquired continuously for their use in weather forecast activities and other related scientific analysis is a critical requirement. Meteorological images are obtained from geostationary orbits in visible, infrared, water vapor channels covering a large frame of several hundreds of kilometres of geographical extent which generally involve bi-directional scanning to cover larger extents. The acquired images have to be guaranteed for their geometric fidelity to a standard of choice among themselves by image registration. Registration of such images require to deal with low contrast, cloud and snow occlusions apart from navigation data uncertainties. Nevertheless, sub pixel accuracies are demanded for image analysis and geophysical parameters derivations. Feature based registration techniques are commonly used and intensity based techniques are also put to use in these contexts rarely. The proposed feature based approach uses a land water boundary data extraction with phase correlation of image blocks and proposed the intensity based approach tackles the same problem without any preprocessing step using a sampler-metric-transform-optimizer procedure. A comparison of these two approaches is pursued here in this article using various channel data sets of INSAT-3D satellite for sub pixel accuracies.Keywords
Image Registration, Phase Correlation, Mutual Information, Optimization, Deformation, Transforms.References
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