Emmett Ientilucci Headshot

Emmett Ientilucci

Associate Professor

Chester F. Carlson Center for Imaging Science
College of Science
Gerald W. Harris Endowed Professorship
Graduate Admission Chair
ejipci@rit.edu
585-475-7778
Office Hours
By Appointment
Office Location
CAR-3120
Office Mailing Address
Emmett J. Ientilucci Rochester Institute of Technology Chester F. Carlson Center for Imaging Science 54 Lomb M

Emmett Ientilucci

Associate Professor

Chester F. Carlson Center for Imaging Science
College of Science
Gerald W. Harris Endowed Professorship
Graduate Admission Chair

Education

BS, MS, Ph.D., Rochester Institute of Technology

Bio

Dr. Emmett Ientilucci is the Gerald W. Harris Endowed Professor and  Graduate Admissions Chair  in RIT's Chester F. Carlson Center for Imaging Science.  He works in the Digital Imaging and Remote Sensing (DIRS) group. He has degrees in optics and imaging science. Prior to his faculty position, he was a Postdoctoral Research Fellow for the Intelligence Community. His research interests are in General Remote Sensing, Spectral Image Processing and Exploitation, Hyperspectral Target Detection, Humanitarian Demining, Shadow Detection, Radiative Transfer, Radiometric Calibration, Hardware and Atmospheric Compensation.  He has 101 publications, supervised 93 students (33 lead, 60 committee), and been referee on 18 journals.  He is the recipient of the 2020-21 Richard and Virginia Eisenhart Provost's Award for Excellence in Teaching at RIT is a member of the IEEE Eta Kappa Nu international honor society.  He is a Sr. member of both SPIE and IEEE societies as well as being a member of Optica and the International Society of Explosives Engineers (ISEE).  Dr. Ientilucci is currently the IEEE Region 1 Area Chair serving over 30 counties the NE USA.  

ejipci@rit.edu
585-475-7778
Personal Links
ORCID
Curriculum Vitae
Google Scholar
LinkedIn
Areas of Expertise
Remote Sensing
Spectral Image Processing
Hyperspectral Imaging
Target Detection
Radiative Transfer
Radiometric and Spectral Calibration
Atmospheric Compensation
UXO and Landmine Detection

Select Scholarship

Peer Reviewed/Juried Poster Presentation or Conference Paper
Lie, Xuesong, et al. "SmokeFCM: Segmentation of Quarry Blast Smoke Plumes using Self-Adaptive Weighted Fuzzy C-Means." Proceedings of the ISEE Explosives and Blasting Technique. Ed. ISEE. Savannah, GA: n.p..
Ientilucci, Emmett and Ahmed Shayer Andalib. "GRSS DATA CURATION: BENCHMARK UAV DATASET FOR HYPERSPECTRAL TARGET DETECTION STUDIES." Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Ed. IEEE. Athens, Greece: IEEE.
Chattoraj, Dibyendu, et al. "Enhanced Multi Class Weather Image Classification using Data Augmentation and Dynamic Learning on Pre-trained Deep Neural Net." Proceedings of the 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). Ed. IEEE. Hyderabad, India: IEEE.
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Journal Paper
Conran, David and Emmett J Ientilucci. "Small Target Radiometric Performance of Drone-Based Hyperspectral Imaging Systems." Small Target Radiometric Performance of Drone-Based Hyperspectral Imaging Systems 16. 11 (2024): 1-24. Web.
Nurunnabi, Abdul, et al. "Derivation of Tree Stem Curve and Volume Using Point Clouds." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W11-2024. (2024): 81-88. Web.
Lekhak, Saga, Emmett J Ientilucci, and Anthony Brinkley. "Viability of Substituting Handheld Metal Detectors with an Airborne Metal Detection System for Landmine and Unexploded Ordnance Detection." Remote Sensing 16. 24 (2024): 4732. Web.
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Book Chapter
Lo, Eddie and Emmett J Ientilucci. "Target detection in hyperspectral imaging using neural networks." Signal and Image Processing for Remote Sensing. Ed. C.H. Chen. Boca Raton, Florida: CRC Press, 2024. 390-410. Print.
Published Conference Proceedings
Robinson, Leanne and Emmett Ientilucci. "Integration of a Constructed Lamp-Based Spectral Calibration Station into a Radiometry Course." Proceedings of the Education and Training in Optics and Photonics. Ed. David Hagan and Mike McKee. Cocoa Beach, Florida: SPIE, 2023. Print.
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.
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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.
Ientilucci, Emmett J. "Remote Sensing and Data Acquisition." 2021 IEEE GRSS Workshop on Spatial Geoinformatics using Machine Learning Approaches. IEEE. Kolkata, India. 24 Sep. 2021. Guest Lecture.
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Journal Editor
Ientilucci, Emmett, ed. Imaging Spectrometry. San Diego: SPIE Optical Engineering and Applications, 2019. Print.
Ientilucci, Emmett and John Silny, ed. Imaging Spectrometry XXII: Applications, Sensors, and Processing. San Diego: SPIE, 2018. Print.
Invited Paper
Ientilucci, Emmett. "Lab-based Radiometric Concepts for Undergraduate and Graduate Students." Proceedings Volume 11143, Education and Training in Optics and Photonics: ETOP 2019. (2019). Print.
Ientilucci, Emmett. "Spectral Target Detection Considerations from a Physical Modeling Perspective." IEEE IGARSS. (2017). Print.
Full Length Book
Ientilucci, Emmett J. and John R. Schott. Radiometry and Radiation Propagation. 1st ed. Rochester, New York: Oxford University Press, 2023. Print.
Published Article
Matteoli, S., E.J. Ientilucci, J.P. Kerekes. “Operational and performance considerations of radiative transfer modeling in hyperspectral target detection.” IEEE Transactions on Geoscience and Remote Sensing, (2010): 1-13. Print. £
Ientilucci, E.J., P. Bajorski, “Hyperspectral target detection in a whitened space utilizing forward modeling concepts.” Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 1.2 (2010): n.p. Print. £
McGlinchy, J., J.A. van Aardt, H.E. Rhody, J.P. Kerekes, E.J. Ientilucci, G.P. Asner, D. Knapp, R. Mathieu, T. Kennedy-Bowdoin, B.F. Erasmus, K. Wessels, I.P. Smit, J. Wu, D. Sarrazin. “Extracting Structural Land Cover Components using Small footprint Waveform Lidar Data.” IEEE International Geoscience and Remote Sensing Symposium, 2010. n.p. Print. " 
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Currently Teaching

IMGS-251
Radiometry
3 Credits
This course introduces the concepts of quantitative measurement of electromagnetic energy. The basic radiometric and photometric terms are introduced using calculus-based definitions. Governing equations for source propagation and sensor output are derived. Simple source concepts are reviewed and detector figures of merit are introduced and used in problem solving. The radiometric concepts are then applied to simple imaging systems so that a student could make quantitative measurements with imaging instruments.
IMGS-606
Graduate Seminar I
1 Credits
This course is focused on familiarizing students with research activities in the Carlson Center, research practices in the university, research environment and policies and procedures impacting graduate students. The course is coupled with the research seminar sponsored by the Center for Imaging Science (usually weekly presentations). Students are expected to attend and participate in the seminar as part of the course. The course also addresses issues and practices associated with technical presentation and technical writing. Credits earned in this course apply to research requirements.
IMGS-607
Graduate Seminar II
1 Credits
This course is a continuation of the topics addressed in the preceding course Imaging Science Graduate Seminar I. The course is coupled with the research seminar sponsored by the Center for Imaging Science (usually weekly presentations). Students are expected to attend and participate in the seminar as part of the course. The course addresses issues and practices associated with technical presentations. Credits earned in this course apply to research requirements.
IMGS-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-723
Remote Sensing: Spectral Image Analysis
3 Credits
This course is focused on analysis of high-dimensional remotely sensed data sets. It begins with a review of the properties of matter that control the spectral nature of reflected and emitted energy. It then introduces mathematical ways to characterize spectral data and methods to perform initial analysis of spectral data to characterize and preprocess the data. These include noise characterization and mitigation, radiometric calibration, atmospheric compensation, dimensionality characterization, and reduction. Much of the course focuses on spectral image analysis algorithms employing conceptual approaches to characterizing the data. These analytical tools are aimed at segmentation, subpixel or pixel unmixing approaches and target detection including treatment of signal processing theory and application. There is also a significant emphasis on incorporation of physics-based algorithms into spectral image analysis. The course concludes with an end-to-end treatment of image fidelity incorporating atmospheres, sensors, and image processing effects.
IMGS-740
Imaging Science MS Systems Project Paper
3 Credits
The analysis and solution of imaging science systems problems for students enrolled in the MS Project capstone paper option.
IMGS-790
Research & Thesis
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-791
Continuation of Thesis
0 Credits
Continuation of Thesis
IMGS-799
Imaging Science Independent Study
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-890
Research & Thesis
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
Continuation of Thesis
0 Credits
Continuation of Thesis

In the News

  • November 29, 2023

    two college students who are twins who are not identical standing outside on a college campus.

    Transformative Campaign propels university to new heights

    More than $200 million has been given to Transforming RIT to support scholarships and the student experience to ensure the best and brightest minds can attend RIT regardless of their financial circumstances. The campaign, launched publicly in 2018, is bringing RIT’s strategic plan to life by investing in student success, creating world-class facilities, advancing research and discovery, and innovating careers of the future.

  • September 8, 2023

    two college professors standing next to each other, both wearing R I T medallions around their necks.

    Two faculty members installed as Harris Endowed Professors in RIT’s College of Science

    Christopher Collison was appointed to the Jane King Harris Endowed Professorship and Emmett Ientilucci was selected for the Gerald W. Harris Endowed Professorship by College of Science Dean Andre Hudson. RIT alumnus Jeffrey Harris ’75 (photographic science and instrumentation) and his partner, Joyce Pratt, established the professorships in 2022 with a generous gift in honor of Harris’s parents, the namesakes of the positions.

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