# Probabilistic Image Sensor Fusion

@inproceedings{Sharma1998ProbabilisticIS, title={Probabilistic Image Sensor Fusion}, author={Ravi K. Sharma and Todd K. Leen and Misha Pavel}, booktitle={NIPS}, year={1998} }

We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locally linear functions of an underlying, true scene. A Bayesian framework then provides for maximum likelihood or maximum a posteriori estimates of the true scene from the sensor images. Maximum likelihood estimates of the parameters of the image formation model involve (local) second order image statistics, and thus are…

## 51 Citations

### Probabilistic model-based multisensor image fusion

- Computer Science, Mathematics
- 1999

A probabilistic model-based approach for the fusion of multisensor images that addresses the shortcomings of existing solutions and compares the results and computational complexity with those of the existing fusion techniques which are based on selection and averaging strategies.

### Image Fusion Using the Expectation-Maximization Algorithm and a Gaussian Mixture Model

- Environmental Science
- 2003

In recent years, image fusion has become an important and useful technique for image analysis, computer vision, concealed weapon detection (CWD), and autonomous landing guidance (ALG).

### Non-parametric and region-based image fusion with Bootstrap sampling

- Computer ScienceInf. Fusion
- 2010

### Chapter # IMAGE FUSION USING THE EXPECTATION-MAXIMIZATION ALGORITHM AND A GAUSSIAN MIXTURE MODEL

- Computer Science
- 2003

This work has shown that multiscale transforms are very useful for analyzing the information content of images for the purpose of fusion and some sophisticated image fusion approaches based on this fact have become very popular.

### On multisensor image fusion performance limits from an estimation theory perspective

- Computer ScienceInf. Fusion
- 2006

### Minimax robust image fusion using an estimation theory approach

- Computer Science, Mathematics2005 7th International Conference on Information Fusion
- 2005

It is shown that the robust image fusion approach will provide a mean square error which is always smaller than a given bound, thus limiting the loss from not knowing the exact model parameters.

### An Image Fusion Approach Based on Markov Random Fields

- Computer ScienceIEEE Transactions on Geoscience and Remote Sensing
- 2011

This paper investigates the problem of fusion of remote sensing images, e.g., multispectral image fusion, based on MRf models and incorporates the contextual constraints via MRF models into the fusion model and develops fusion algorithms under the maximum a posteriori criterion.

### A Novel Approach for Image Fusion Using Total Variation and Markov Random Field

- Engineering
- 2012

A novel approach based on total variation and markov random field is proposed for pixel-level image fusion and it is demonstrated that the proposed fusion approach provides superior performance.

### A Bayesian approach to visualization-oriented hyperspectral image fusion

- Mathematics, Computer ScienceInf. Fusion
- 2013

## References

SHOWING 1-10 OF 12 REFERENCES

### Model-based sensor fusion for aviation

- Computer ScienceDefense, Security, and Sensing
- 1997

A sensor fusion algorithm based on a set of simple assumptions about the relationship among the sensors is described, and the optimal fusion is then approximated by a weighted sum of the common component in each sensor output at each pixel.

### Enhanced image capture through fusion

- Physics1993 (4th) International Conference on Computer Vision
- 1993

The authors present an extension to the pyramid approach to image fusion that provides greater shift invariance and immunity to video noise, and provides at least a partial solution to the problem of combining components that have roughly equal salience but opposite contrasts.

### Automatic visual/IR image registration

- Computer Science
- 1996

A feature-based approach to visual/IR sensor image registration overcomes the difficulties caused by the discrepancy in data’s gray-scale characteristics and the problem of feature inconsistency by employing a wavelet-based feature extractor.

### Probabilistic Principal Component Analysis

- Mathematics
- 1999

Principal component analysis (PCA) is a ubiquitous technique for data analysis and processing, but one which is not based on a probability model. We demonstrate how the principal axes of a set of…

### Data Fusion for Sensory Information Processing Systems

- Computer Science
- 1990

The role of data Fusion in Sensory Systems, Bayesian Sensory Information Processing, and Temporal Aspects of Data Fusion are introduced.

### Sensor and Data Fusion Concepts and Applications

- Computer Science
- 1993

Multiple Sensor System Applications, Benefits, and Atmospheric Attenuation Data Fusion Algorithms and Architectures Bayesian Inference Dempster-Shafer Algorithm Artificial Neural Networks Voting…

### Image processing for flight crew enhanced situation awareness

- Computer ScienceDefense, Security, and Sensing
- 1994

The issues involved in each category of processing, the most promising algorithms are described, and preliminary results of the image processing are presented.

### Infrared-optical multisensor for autonomous landing guidance

- Environmental ScienceDefense, Security, and Sensing
- 1995

Infrared sensors at the nominal 8 - 12 and 3 - 5 micron wavebands respectively can be shown to have complementary performance characteristics when used over a range of meteorological conditions. The…

### Sensor fusion for synthetic vision

- Environmental Science
- 1991

Display methodologies are explored for fusing images gathered by millimeter wave sensors with images rendered from an on-board terrain data base to facilitate visually guided flight and ground…