HPC MSU

Publications of the HPC²

Publications by HPC centers and institutes include items from past years such as an early publication written by one of the HPC founding investigators, Dr. Joe Thompson. Numerical Grid Generation was originally published by Elsevier Science Publishing Co., Inc. in 1985, and the copyright was transferred to Joe F. Thompson in 1997.

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Publications for: Fowler
Peer-Reviewed Journals
Trocan, M., Tramel, E. W., Fowler, J. E., & Pesquet-Popescu, B. (2014). Compressed-Sensing Recovery of Multiview Image and Video Sequences Using Signal Prediction. Multimedia Tools and Applications. 72(1), 95-121.

Ly, N., Du, Q., & Fowler, J. E. (2014). Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 52(7), 3872-3884.

Li, W., Prasad, S., & Fowler, J. E. (2014). Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 52(6), 3399-3411.

Du, Q., Ly, N., & Fowler, J. E. (2014). An Operational Approach to PCA+JPEG2000 Compression of Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6), 2237-2245.

Ly, N., Du, Q., & Fowler, J. E. (2014). Collaborative Graph-Based Discriminant Analysis for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6), 2688-2696.

Chen, C., Li, W., Tramel, E. W., Cui, M., Prasad, S., & Fowler, J. E. (2014). Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(4), 1047-1059.

Chen, C., Li, W., Tramel, E. W., & Fowler, J. E. (2014). Reconstruction of Hyperspectral Imagery from Random Projections Using Multihypothesis Prediction. IEEE Transactions on Geoscience and Remote Sensing. 52(1), 365-374.

Prasad, S., Cui, M., Li, W., & Fowler, J. E. (2014). Segmented Mixture-of-Gaussian Classification for Hyperspectral Image Analysis. IEEE Geoscience and Remote Sensing Letters. 11(1), 138-142.

Li, W., Tramel, E. W., Prasad, S., & Fowler, J. E. (2014). Nearest Regularized Subspace for Hyperspectral Classification. IEEE Transactions on Geoscience and Remote Sensing. 52(1), 477-489.

Li, W., Prasad, S., & Fowler, J. E. (2014). Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields. IEEE Geoscience and Remote Sensing Letters. 11(1), 153-157.

Ye, Z., Prasad, S., Li, W., Fowler, J. E., & He, M. (2014). Classification Based on 3D DWT and Decision Fusion for Hyperspectral Image Analysis. IEEE Geoscience and Remote Sensing Letters. 11(1), 173-177.

Peer-Reviewed Conference Papers
Prasad, S., Wu, H., & Fowler, J. E. (2014). Compressive Data Fusion for Multi-Sensor Image Analysis. Proceedings of the International Conference on Image Processing. Paris, France. 5032-5036.

Fowler, J. E. (2014). Compressive Pushbroom and Whiskbroom Sensing for Hyperspectral Remote-Sensing Imaging. Proceedings of the International Conference on Image Processing. Paris, France. 684-688.

Ye, Z., He, M., Fowler, J. E., & Du, Q. (2014). Hyperspectral Image Classification Based on Spectra Derivative Features and Locality Preserving Analysis. Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing. Xi'an, China. 138-142.

Li, W., Prasad, S., Tramel, E. W., Fowler, J. E., & Du, Q. (2014). Decision Fusion for Hyperspectral Image Classification Based on Minimum-Distance Classifiers in the Wavelet Domain. Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing. Xi'an, China. 162-165.