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ORCIDEmmett J. Ientilucci
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2020 – today
- 2024
[j9]David N. Conran
, Emmett J. Ientilucci, Timothy D. Bauch, Nina G. Raqueno:
Small Target Radiometric Performance of Drone-Based Hyperspectral Imaging Systems. Remote. Sens. 16(11): 1919 (2024)- [c27]Abhiroop Chatterjee, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci:
Urbanscape-Net: A Spatial and Self-Attention Guided Deep Neural Network with Multi Scale Feature Extraction for Urban Land-Use Classification. IGARSS 2024: 4884-4889 - [c26]Emmett J. Ientilucci, Ahmed Shayer Andalib:
Grss Data Curation: Benchmark UAV Dataset for Hyperspectral Target Detection Studies. IGARSS 2024: 9324-9328 - 2023
- [j8]Brandon J. Russell, Raymond J. Soffer, Emmett J. Ientilucci, Michele A. Kuester, David N. Conran, Juan Pablo Arroyo-Mora, Tina Ochoa, Chris Durell, Jeff Holt:
The Ground to Space CALibration Experiment (G-SCALE): Simultaneous Validation of UAV, Airborne, and Satellite Imagers for Earth Observation Using Specular Targets. Remote. Sens. 15(2): 294 (2023) - [j7]David N. Conran, Emmett J. Ientilucci:
A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration. Sensors 23(9): 4333 (2023) - [c25]Colin J. Maloney, John P. Kerekes, Emmett J. Ientilucci, Chase Cañas:
Linear Mixing Model Performance with Nonlinear Effects in Hyperspectral Sub-Pixel Target Detection. IGARSS 2023: 2262-2265 - [c24]Chase Cañas, John P. Kerekes, Colin J. Maloney, Emmett J. Ientilucci, Scott D. Brown:
Impacts of Fully Illuminated Targets on Partially Shaded Backgrounds for a Multiclass Subpixel Target Detection Scenario. IGARSS 2023: 2266-2269 - [c23]Abhishek Dey, Susmita Ghosh, Emmett J. Ientilucci:
A Combination of Mutual and Neighborhood Information for Band Selection in Hyperspectral Images. IGARSS 2023: 6077-6080 - [c22]Namita Jain, Susmita Ghosh, Emmett J. Ientilucci:
MIclust: A Clustering Algorithm for High Dimensional Data. IGARSS 2023: 7280-7283 - [c21]Koushikey Chhapariya, Emmett J. Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar:
A Spectral-Spatial Classification Network for Hyperspectral Images using a Residual Attention Network. WHISPERS 2023: 1-5 - 2022
- [j6]Runchen Zhao, Emmett J. Ientilucci, Peter Bajorski:
A Statistical Temperature Emissivity Separation Algorithm for Hyperspectral System Modeling. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Runchen Zhao, Emmett J. Ientilucci:
A Full-Spectrum Spectral Imaging System Analytical Model With LWIR TES Capability. IEEE Trans. Geosci. Remote. Sens. 60: 1-9 (2022) - [c20]Vedant Anand Koranne, Emmett J. Ientilucci, Abhishek Dey, Aloke Datta, Susmita Ghosh:
Segmentation of Smoke Plumes Using Fast Local Laplacian Filtering. CVIP (2) 2022: 136-148 - [c19]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2022: 196-204 - [c18]Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci:
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning. ICONIP (7) 2022: 212-223 - [c17]Edisanter Lo, Emmett J. Ientilucci:
Hyperspectral Target Detection Using Neural Networks. IGARSS 2022: 32-35 - [c16]Scott D. Couwenhoven, Emmett J. Ientilucci, Byung H. Park, David Hughes:
A Weakly-Supervised, Multitask Deep Learning Framework for Shadow Mitigation in Remote Sensing Imagery. IGARSS 2022: 619-622 - [c15]David N. Conran, Emmett J. Ientilucci:
Interrogating UAV Image and Data Quality Using Convex Mirrors. IGARSS 2022: 4525-4528 - 2021
- [c14]Sandra Wiseman, Steve M. Adler-Golden, Emmett J. Ientilucci, Timothy C. Perkins:
Enhanced Target Detection Under Poorly Illuminated Conditions. IGARSS 2021: 1425-1428 - [c13]David N. Conran, Emmett J. Ientilucci, Stephen Schiller, Brandon J. Russell, Jeff Holt, Chris Durell, Will Arnold:
A New Technique to Define the Spatial Resolution of Imaging Sensors. IGARSS 2021: 8158-8161 - 2020
- [j4]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(11): 8116-8124 (2020) - [c12]Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS 2020: 163-170
2010 – 2019
- 2019
- [i3]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR abs/1912.08178 (2019) - 2018
- [j3]Yue Wang, Emmett J. Ientilucci:
A Practical Approach to Landsat 8 TIRS Stray Light Correction Using Multi-Sensor Measurements. Remote. Sens. 10(4): 589 (2018) - [c11]Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro:
Dual-Channel Densenet for Hyperspectral Image Classification. IGARSS 2018: 2595-2598 - [c10]Emmett J. Ientilucci:
Processing a New Hyperspectral Data Set for Target Detection and Atmospheric Compensation Algorithm Assessment: The RIT2017 Data Set. IGARSS 2018: 4249-4252 - 2017
- [c9]Yue Wang, Emmett J. Ientilucci, Nina G. Raqueno, John R. Schott:
Landsat 8 TIRS calibration with external sensors. Earth Observing Systems 2017: 104021H - [c8]Emmett J. Ientilucci:
Spectral target detection considerations from a physical modeling perspective. IGARSS 2017: 1320-1323 - [i2]Mohammed Yousefhussien, David J. Kelbe, Emmett J. Ientilucci, Carl Salvaggio:
A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds. CoRR abs/1710.01408 (2017) - [i1]Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman:
Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR abs/1712.08690 (2017) - 2014
- [j2]Joseph McGlinchy, Jan A. N. van Aardt, Barend Erasmus, Gregory P. Asner, Renaud Mathieu, Konrad J. Wessels, David E. Knapp, Ty Kennedy-Bowdoin, Harvey E. Rhody, John P. Kerekes, Emmett J. Ientilucci, Jiaying Wu, Diane Sarrazin, Kerry Cawse-Nicholson:
Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 480-490 (2014) - [c7]John R. Schott, Aaron Gerace, Nina G. Raqueno, Emmett J. Ientilucci, Rolando Raqueño, Allen W. Lunsford:
Chasing the TIRS ghosts: calibrating the Landsat 8 thermal bands. Earth Observing Systems 2014: 92181A - 2011
- [j1]Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes:
Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 49(4): 1343-1355 (2011) - [c6]Bill Basener, Ariel Schlamm, David W. Messinger, Emmett J. Ientilucci:
A detection-identification process with geometric target detection and subpixel spectral visualization. WHISPERS 2011: 1-4 - 2010
- [c5]Emmett J. Ientilucci, Peter Bajorski:
Hyperspectral target detection in a whitened space utilizing forward modeling concepts. WHISPERS 2010: 1-5
2000 – 2009
- 2009
- [c4]Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes:
Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data. WHISPERS 2009: 1-4 - [c3]Stefania Matteoli, Emmett J. Ientilucci, John P. Kerekes:
Forward Modeling and Atmospheric Compensation in hyperspectral data: Experimental analysis from a target detection perspective. WHISPERS 2009: 1-4 - 2006
- [c2]Emmett J. Ientilucci, John R. Schott:
Physics Based Target Detection Using a Hybrid Algorithm With an Infeasibility Metric. ICASSP (5) 2006: 1193-1196 - 2004
- [c1]Peter Bajorski, Emmett J. Ientilucci:
Geometric basis-vector selection methods and subpixel target detection as applied to hyperspectral imagery. IGARSS 2004: 3211-3214
Coauthor Index
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