CHESTER F. CARLSON CENTER FOR IMAGING SCIENCE

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Charles Bachmann

Professor
Chester F. Carlson Center for Imaging Science
College of Science

2022 Submissions

Journal Paper

Roth, Benjamin D., et al. "Leaf Bidirectional Transmittance Distribution Function (BTDF) Estimates and Models for Select Deciduous Tree Species." IEEE Transactions on Geoscience and Remote Sensing 60. (2022): 4401214. Web. * £

Shiltz, Dylan J. and Charles M. Bachmann. "An Alternative to Hapke\'s Macroscopic Roughness Correction." Icarus 390. (2023): 115240. Web. £

Published Conference Proceedings

Lee, Chris H., et al. "Goniometric and Polarized Imaging Spectroscopic Lab Measurements of Spacecraft Materials." Proceedings of the AMOS Technical Conference, September 27-30, 2022, Maui, HI. Ed. AMOSTech. Mauii, HI: n.p., Web. £

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Emmett Ientilucci

Associate Professor
Chester F. Carlson Center for Imaging Science
College of Science

2022 Submissions

Journal Paper

Jha, Sudhanshu Shekhar, Rama Rao Nidamanuri, and Emmett J. Ientilucci. "Influence of atmospheric modeling on spectral target detection through forward modeling approach in multi-platform remote sensing data." ISPRS Journal of Photogrammetry and Remote Sensing 183. (2022): 286-306. Web. *

Zhao, Runchen, Emmett Ientilucci, and Peter Bajorski. "A Statistical Temperature Emissivity Separation Algorithm for Hyperspectral System Modeling." IEEE Geoscience and Remote Sensing Letters (GRSL) 19. (2022): 1-5. Print. * £

Zhao, Runchen and Emmett Ientilucci. "A Full-Spectrum Spectral Imaging System Analytical Model with LWIR TES Capability." IEEE Transactions on Geoscience and Remote Sensing. (2022): 10. Print. *

Published Conference Proceedings

Ientilucci, Emmett, et al. "Development of test methods for hyperspectral cameras characterization in the P4001 standards development." Proceedings of the SPIE Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII. Ed. Miguel Velez-Reyes and David W. Messinger. Orlando, FL: n.p., 2022. Print.

Gartley, Mike and Emmett Ientilucci. "Temporally adjusted atmospheric compensation (TAAC) for space-based multi-spectral imagery." Proceedings of the SPIE Optical Engineering + Applications, Earth Observing Systems XXVII. Ed. James J. Butler. San Diego, CA: n.p., 2022. Print. ˜

Canas, C., et al. "Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection." Proceedings of the SPIE Imaging Spectrometry. Ed. Emmett Ientilucci. San Diego, CA: n.p., 2022. Print. ˜

Ientilucci, Emmett J. "Proceedings Volume 1223, Imaging Spectrometry XXV." Proceedings of the Optical Engineering + Applications,. Ed. Emmett J. Ientilucci. San Diego, CA: SPIE, 2022. Print.

Invited Keynote/Presentation

Ientilucci, Emmett. "Remote Sensing, Data Collection, and Hyperspectral Imaging." International Workshop on Remote Sensing and Applications. Technology Innovation Hub, Indian Statistical Institute (ISI), and IEEE GRSS Kolkata Chapter. Kolkata, India. 12 Aug. 2022. Guest Lecture.

Ientilucci, Emmett. "Hyperspectral Image Analysis." Deep Learning and Artificial Intelligence Summer School 2022. Asia Pacific Neural Network Society (APNNS), King Mongkut’s University of Technology. Bangkok, Thailand. 18 Jun. 2022. Guest Lecture.

Peer Reviewed/Juried Poster Presentation or Conference Paper

Couwenhoven, Scott and Emmett Ientilucci. "A Weakly-supervised, Multi-task Deep Learning Framework For Shadow Mitigation in Remote Sensing Imagery." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysia: n.p.. *

Lo, Eddie and Emmett Ientilucci. "Hyperspectral Object Detection using Neural Networks." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysis: n.p.. *

Conran, David and Emmett Ientilucci. "A Vicarious Technique for Understanding HSI Misregistration Using Convex Mirrors." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysis: n.p.. *

Chakraborty, D., et al. "Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning." Proceedings of the International Conference on Neural Information Processing (ICONIP). Ed. M. Tanveer. Indore, India: n.p.. *

Koranne, V., et al. "Segmentation of Smoke Plumes Using Fast Local Laplacian Filtering." Proceedings of the Computer Vision & Image Processing (CVIP). Ed. Bidyut Baran Chaudhuri. Nagpur, India: n.p.. *

Rangnekar, A., et al. "SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery." Proceedings of the Dynamic Data Driven Applications Systems (DDDAS). Ed. Erik Blasch. Cambridge, MA: n.p.. *

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David Messinger

Professor
Chester F. Carlson Center for Imaging Science
College of Science

2022 Submissions

Journal Paper

Huang, Sihan and David Messinger. "An Unsupervised Laplacian Pyramid Network for Radiometrically-Accurate Data Fusion of Hyperspectral and Multispectral Imagery." Transactions on Geoscience and Remote Sensing 14. 8 (2022): 1. Web. £

Huang, Sihan and David Messinger. "An Unsupervised Cascade Fusion Network for Radiometrically- Accurate Vis-NIR-SWIR Hyperspectral Sharpening." Remote Sensing 14. (2022): 4390. Web. £

Zawacki, Alexander, et al. "Fragments under the Lens: A Case Study of Multispectral versus Hyperspectral Imaging for Manuscript Recovery." Digital Philology 12. 1 (2023): 123-143. Web. £

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Jan van Aardt

Professor
Chester F. Carlson Center for Imaging Science
College of Science

2022 Submissions

Journal Paper

Zhang, Fei, et al. "Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery." IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 15. (2022): 18. Web. * £ ≠

Published Conference Proceedings

Zhang, Fei, et al. "WHITE MOLD AND WEED DETECTION IN SNAP BEANS USING UAS-BASED LIDAR." Proceedings of the IEEE IGARSS. Ed. N/A. Kuala Lumpur, Malaysia: n.p., Web. ≠

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