Dr. Arlene Cole-Rhodes Profile

Dr. Arlene Cole-Rhodes

Professor at Morgan State Univ

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Publications (6)

Proceedings Article | 12 September 2021 Poster + Presentation + Paper

PCA compression of image deblurring neural networks

Greig Richmond, Arlene Cole-Rhodes

Proceedings Volume 11870, 118700P (2021) https://doi.org/10.1117/12.2600055

KEYWORDS: Image quality, Principal component analysis, Image restoration, Neural networks

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Proceedings Article | 21 May 2015 Paper

Evaluating CMA equalization of SOQPSK-TG data for aeronautical telemetry

Arlene Cole-Rhodes, Serge KoneDossongui, Henry Umuolo, Michael Rice

Proceedings Volume 9497, 94970Q (2015) https://doi.org/10.1117/12.2180040

KEYWORDS: Modulation, Receivers, Error analysis, Signal to noise ratio, Signal processing, Computer simulations, Data processing, Data communications, Transmitters, Data acquisition

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Proceedings Article | 8 March 2002 Paper

Multiresolution registration of remote sensing images using stochastic gradient

Arlene Cole-Rhodes, Kisha Johnson, Jacqueline Le Moigne

Proceedings Volume 4738, (2002) https://doi.org/10.1117/12.458727

KEYWORDS: Image registration, Wavelets, Remote sensing, Image processing, Stochastic processes, Earth observing sensors, Optimization (mathematics), Sensors, Satellite imaging, Landsat

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In image registration, we determine the most accurate match between two images, which may have been taken at the same or different times by different or identical sensors. In the past, correlation and mutual information have been used as similarity measures for determining the best match for remote sensing images. Mutual information or relative entropy is a concept from information theory that measures the statistical dependence between two random variables, or equivalently it measures the amount of information that one variable contains about another. This concept has been successfully applied to automatically register remote sensing images based on the assumption that the mutual information of the image intensity pairs is maximized when the images are geometrically aligned. The transformation which maximizes a given similarity measure has been previously determined using exhaustive search, but this has been found to be inefficient and computationally expensive. In this paper we utilize a new simple, yet powerful technique based on stochastic gradient, for the maximization of both similarity measures with remote-sensing images, and we compare its performance to that of the exhaustive search. We initially consider images, which are misaligned by a rotation and/or translation only, and we compare the accuracy and efficiency of a registration scheme based on optimization for this data. In addition, the effect of wavelet pre-processing on the efficiency of a multi- resolution registration scheme is determined, using Daubechies wavelets. Finally we evaluate this optimization scheme for the registration of satellite images obtained at different times, and from different sensors. It is noted that once a correct optimization result is obtained at one of the coarser levels in the multi-resolution scheme, then the registration process is much faster in achieving subpixel accuracy, and is more robust when compared to a single level optimization. Mutual information was generally found to optimize in about one third the time required by correlation.

Proceedings Article | 28 January 2002 Paper

Multisensor registration of Earth remotely sensed imagery

Jacqueline Le Moigne, Arlene Cole-Rhodes, Roger Eastman, Kisha Johnson, Jeffrey Morisette, Nathan Netanyahu, Harold Stone, Ilya Zavorin

Proceedings Volume 4541, (2002) https://doi.org/10.1117/12.454140

KEYWORDS: Image registration, Wavelets, Spatial resolution, Earth observing sensors, Sensors, Image processing, Feature extraction, High resolution satellite images, MODIS, Landsat

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Proceedings Article | 1 June 2001 Paper

Mutual information as a similarity measure for remote sensing image registration

Kisha Johnson, Arlene Cole-Rhodes, Ilya Zavorin, Jacqueline Le Moigne

Proceedings Volume 4383, (2001) https://doi.org/10.1117/12.428251

KEYWORDS: Image registration, Wavelets, Remote sensing, Image processing, Medical imaging, Feature extraction, Earth observing sensors, Signal to noise ratio, Satellite imaging, Landsat

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Proceedings Article | 26 March 2001 Paper

Multiresolution image registration of remotely sensed imagery using mutual information

Kisha Johnson, Arlene Cole-Rhodes, Jacqueline Le Moigne, Ilya Zavorin

Proceedings Volume 4391, (2001) https://doi.org/10.1117/12.421212

KEYWORDS: Image registration, Wavelets, Image filtering, Image processing, Linear filtering, Bandpass filters, Feature extraction, Remote sensing, Medical imaging, Earth observing sensors

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Showing 5 of 6 publications

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