Upcoming Conferences

Image-derived atmospheric transmission for enhancement of CRISM volcano scan correction

Yuki Itoh and Mario Parente, in 48th Lunar and Planetary Science Conference (LPSC), The Woodlands, TX, Mar. 2017, Abstract no. 2939.
[PDF]

Active classification of neural spectra for CRISM images

Arun M. Saranathan and Mario Parente, in 48th Lunar and Planetary Science Conference (LPSC), The Woodlands, TX, Mar. 2017, Abstract no. 2866.
[PDF]

Sparse unmixing with adaptive background

Yuki Itoh and Mario Parente, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fortworth, TX, July 2017 (invited).

Submitted

On clustering and embedding manifolds using a low rank neighborhood approach

Arun M. Saranathan and Mario Parente, submitted for publication.
[Preprint (arXiv:1608.06669)]

Journal Papers

Semi-supervised endmember identification in nonlinear spectral mixtures via semantic representation

Yuki Itoh, Siwei Feng, Marco F. Duarte, and Mario Parente, IEEE Transactions on Geoscience and Remote Sensing, to appear.
[Preprint (arXiv:1701.00804)]

Hyperspectral band selection from statistical wavelet models

Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 4, pp. 2111-2123, Jan. 2017.
[link]

Perfect recovery conditions for non-negative sparse modeling

Yuki Itoh, Mario Parente, and Marco F. Duarte, IEEE Transactions on Signal Processing, vol. 65, no. 1, pp. 69-80, Jan. 2017.
[link] [Preprint (arXiv:1512.02743)]

Uniformity-based superpixel segmentation of hyperspectral images

Arun M. Saranathan and Mario Parente, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 3, pp. 1419-1430, Feb. 2016.
[link]

Conference Papers

Unmixing multiple Intimate mixtures via a locally low-rank representation

Arun M. Saranathan and Mario Parente, IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, Aug. 2016.

Band selection from statistical wavelet models

Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, CA, Aug. 2016.
[PDF]

On the performance of sparse unmixing on non-linear mixtures

Yuki Itoh and Mario Parente, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016, pp. 7042–7045.
[link]

Simultaneous clustering and embedding for multiple intimate mixtures

Arun M. Saranathan and Mario Parente, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, July 2015, pp. 2397-2400.
[link]

Performance guarantees for sparse regression-based unmixing

Yuki Itoh, Marco F. Duarte, and Mario Parente, in IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, June 2015.
[PDF]

Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures

Siwei Feng, Marco F. Duarte, and Mario Parente, in IEEE Computer Vision and Pattern Recognition (CVPR) Workshop, Boston, MA, June 2015, pp. 19–27.
[link]

A spectroscopic facility at UMass, Amherst

Mario Parente, Arun M. Saranathan, and Darby Dyar, in the 46th Lunar and Planetary Science Conference (LPSC), The Woodlands, Texas, Mar. 2015, Abstract no. 3019.
[PDF]

Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification

Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, in International Conference on Image Processing (ICIP), Paris, France, Oct. 2014.
[link]

Hyperspectral unmixing via semantic spectral representations

Yuki Itoh, Siwei Feng, Marco F. Duarte, and Mario Parente, in IEEE International Midwestern Symposium Circuits and Systems (MWCAS), College Station, TX, Aug. 2014, pp. 149–152.
[link]

Manifold clustering based unmixing in multiple intimate mixtures scenario

Arun M. Saranathan and Mario Parente, in IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland, June 2014.

Denoising CRISM images: A new look

Mario Parente, Arun M. Saranathan, Sandra Wiseman, Bethany L. Ehlmann, and Lu Pan, in the 45th Lunar and Planetary Science Conference (LPSC), The Woodlands, Texas, Mar. 2014, Abstract no. 2900.
[PDF]

Non-homogeneous hidden Markov chain models for wavelet-based hyperspectral image processing

Marco. F. Duarte and Mario Parente, in Allerton Conference on Communication, Control, and Computing, Oct. 2013, pp. 154–159.
[link]

Endmember detection using graph theory

Neda Rohani, Mario Parente, and Arun M. Saranathan, in IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, July 2013.
[link]

A new semantic wavelet-based spectral representation

Mario Parente and Marco F. Duarte, in IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013.
[PDF]

Threshold based segmentation method for hyperspectral images

Arun M. Saranathan and Mario Parente, in IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013.

Graph-based identification of boundary points for unmixing and anomaly detection

Neda Rohani, Arun M. Saranathan, and Mario Parente, in IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, June 2013.

Automatic extraction of unique spectral signatures for the M3 database

Arun M. Saranathan and Mario Parente, in the 44th Lunar and Planetary Science Conference (LPSC), The Woodlands, Texas, Mar. 2013, Abstract no. 3056.
[PDF]

Technical Report

Wavelet-based semantic features for hyperspectral signature discrimination

Siwei Feng, Yuki Itoh, Mario Parente, and Marco F. Duarte, 2015.
[PDF]