Michael Sears
According to our database1,
Michael Sears
authored at least 25 papers
between 1971 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.
CoRR, 2024
2022
IEEE Geosci. Remote. Sens. Lett., 2022
2020
Proceedings of the 4th IEEE International Conference on Image Processing, 2020
2018
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Modified Residual Method for Estimation of Signal Dependent Noise in Hyperspectral Images.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
On the suitability of using the residual method for estimation of the noise covariance matrix in hyperspectral images.
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017
2015
Estimation of the Intrinsic Dimension of Hyperspectral Images: Comparison of Current Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
2014
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
2013
Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory.
IEEE Trans. Image Process., 2013
The Effect of Correlation on Determining the Intrinsic Dimension of a Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
The effect of spectrally correlated noise on noise estimation methods for hyperspectral images.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
2011
The effect of noise whitening on methods for determining the intrinsic dimension of a hyperspectral image.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
Using Random Matrix Theory to determine the number of endmembers in a hyperspectral image.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
1975
1974
1973
1972
1971
Math. Syst. Theory, 1971