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2020 – today
- 2023
[c35]Ayyoub Ahar
, Rob Heylen, Dries Verhees, Cyril Blanc, Abdellatif Bey-Temsamani:
Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning. AIAI (2) 2023: 250-265- 2022
- [j24]Brian G. Booth, Rob Heylen, Mohsen Nourazar, Dries Verhees, Wilfried Philips, Abdellatif Bey-Temsamani:
Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling. Sensors 22(10): 3740 (2022) - 2021
- [c34]Rob Heylen, Petra Van Mulders, Nicole Gallace:
Counting Strawberry Flowers On Drone Imagery With A Sequential Convolutional Neural Network. IGARSS 2021: 4880-4883
2010 – 2019
- 2019
- [j23]Rob Heylen, Vera Andrejchenko, Zohreh Zahiri, Mario Parente, Paul Scheunders:
Nonlinear Hyperspectral Unmixing With Graphical Models. IEEE Trans. Geosci. Remote. Sens. 57(7): 4844-4856 (2019) - [c33]Vera Andrejchenko, Zohreh Zahiri, Rob Heylen, Paul Scheunders:
A Spectral Mixing Model Accounting for Multiple Reflections and Shadow. IGARSS 2019: 286-289 - 2018
- [c32]Thorvald Dox, Rob Heylen, Paul Scheunders:
Spectral Variability in a Multilinear Mixing Model. IGARSS 2018: 4217-4220 - [c31]Bikram Koirala, Rob Heylen, Paul Scheunders:
A Neural Network Method for Nonlinear Hyperspectral Unmixing. IGARSS 2018: 4233-4236 - [c30]Vera Andrejchenko, Rob Heylen, Wenzhi Liao, Wilfried Philips, Paul Scheunders:
MRF-Based Decision Fusion for Hyperspectral Image Classification. IGARSS 2018: 8066-8069 - 2017
- [j22]Elham Kordi Ghasrodashti, Azam Karami, Rob Heylen, Paul Scheunders:
Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation. Remote. Sens. 9(6): 541 (2017) - [j21]Rob Heylen, Mario Parente, Paul Scheunders:
Estimation of the Number of Endmembers in a Hyperspectral Image via the Hubness Phenomenon. IEEE Trans. Geosci. Remote. Sens. 55(4): 2191-2200 (2017) - [c29]Rob Heylen, Mario Parente, Paul Scheunders:
Estimation of the Intrinsic Dimensionality in Hyperspectral Imagery via the Hubness Phenomenon. LVA/ICA 2017: 357-366 - [c28]Rob Heylen, Mario Parente, Paul Scheunders:
Pixel purity vertex component analysis. IGARSS 2017: 213-216 - 2016
- [j20]Zahra Hashemi Nezhad, Azam Karami, Rob Heylen, Paul Scheunders:
Fusion of Hyperspectral and Multispectral Images Using Spectral Unmixing and Sparse Coding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2377-2389 (2016) - [j19]Rob Heylen, Paul Scheunders:
A Multilinear Mixing Model for Nonlinear Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(1): 240-251 (2016) - [j18]Rob Heylen, Alina Zare, Paul D. Gader, Paul Scheunders:
Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization. IEEE Trans. Geosci. Remote. Sens. 54(8): 4983-4993 (2016) - [j17]Azam Karami, Rob Heylen, Paul Scheunders:
Hyperspectral Image Compression Optimized for Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(10): 5884-5894 (2016) - [c27]Vera Andrejchenko, Rob Heylen, Paul Scheunders, Wilfried Philips, Wenzhi Liao:
Classification of hyperspectral images with very small training size using sparse unmixing. IGARSS 2016: 5115-5117 - [c26]Rob Heylen, Paul Scheunders, Alina Zare, Paul D. Gader:
Alternating angle minimization based unmixingwith endmember variability. IGARSS 2016: 6974-6977 - [c25]Zahra Hashemi Nezhad, Azam Karami, Rob Heylen, Paul Scheunders:
Superresolution of hyperspectral images using spectral unmixing and sparse regularization. IGARSS 2016: 7216-7219 - [c24]Sayyed Ashkan Adibi, Azam Karami, Rob Heylen, Paul Scheunders:
Optical solutions for improving spatial resolution of hyperspectral sensors. WHISPERS 2016: 1-4 - [c23]Shirin Hassanzadeh, Azam Karami, Rob Heylen, Paul Scheunders:
Compression of hyperspectral images using block coordinate descent search and compressed sensing. WHISPERS 2016: 1-4 - [c22]Rob Heylen, Mario Parente, Paul Scheunders:
Estimation of the number of endmembers via the hubness phenomenon. WHISPERS 2016: 1-4 - [c21]Azam Karami, Rob Heylen, Paul Scheunders:
Denoising of hyperspectral images using shearlet transform and fully constrained least squares unmixing. WHISPERS 2016: 1-5 - 2015
- [j16]Laurent Tits, Rob Heylen, Ben Somers, Paul Scheunders, Pol Coppin:
A Geometric Unmixing Concept for the Selection of Optimal Binary Endmember Combinations. IEEE Geosci. Remote. Sens. Lett. 12(1): 82-86 (2015) - [j15]Muhammad Awais Akhter, Rob Heylen, Paul Scheunders:
A Geometric Matched Filter for Hyperspectral Target Detection and Partial Unmixing. IEEE Geosci. Remote. Sens. Lett. 12(3): 661-665 (2015) - [j14]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2655-2664 (2015) - [j13]Azam Karami, Rob Heylen, Paul Scheunders:
Band-Specific Shearlet-Based Hyperspectral Image Noise Reduction. IEEE Trans. Geosci. Remote. Sens. 53(9): 5054-5066 (2015) - [c20]Rob Heylen, Muhammad Awais Akhter, Paul Scheunders:
A fast alternative for the pixel purity index algorithm. IGARSS 2015: 1781-1784 - [c19]Azam Karami, Rob Heylen, Paul Scheunders:
Lossy compression of hyperspectral images optimizing spectral unmixing. IGARSS 2015: 5031-5034 - [c18]Muhammad Awais Akhter, Rob Heylen, Paul Scheunders:
Hyperspectral unmixing with projection onto convex sets using distance geometry. IGARSS 2015: 5059-5062 - [c17]Rob Heylen, Paul Scheunders:
Nonlinear unmixing with a multilinear mixing model. WHISPERS 2015: 1-4 - 2014
- [j12]Rob Heylen, Paul D. Gader:
Nonlinear Spectral Unmixing With a Linear Mixture of Intimate Mixtures Model. IEEE Geosci. Remote. Sens. Lett. 11(7): 1195-1199 (2014) - [j11]Rob Heylen, Mario Parente, Paul D. Gader:
A Review of Nonlinear Hyperspectral Unmixing Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1844-1868 (2014) - [j10]Rob Heylen, Paul Scheunders:
A Distance Geometric Framework for Nonlinear Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1879-1888 (2014) - [j9]Dzevdet Burazerovic, Rob Heylen, Dries Raymaekers, Els Knaeps, Catharina J. M. Philippart, Paul Scheunders:
A Spectral-Unmixing Approach to Estimate Water-Mass Concentrations in Case 2 Waters. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3595-3605 (2014) - [c16]Rob Heylen, Paul Scheunders:
Hyperspectral unmixing using an active set algorithm. ICIP 2014: 694-697 - [c15]Muhammad Awais Akhter, Rob Heylen, Paul Scheunders:
Geometric matched filter for hyperspectral partial unmixing. WHISPERS 2014: 1-4 - [c14]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. WHISPERS 2014: 1-4 - [c13]Azam Karami, Rob Heylen, Paul Scheunders:
Hyperspectral image noise reduction and its effect on spectral unmixing. WHISPERS 2014: 1-4 - 2013
- [j8]Rob Heylen, Muhammad Awais Akhter, Paul Scheunders:
On Using Projection Onto Convex Sets for Solving the Hyperspectral Unmixing Problem. IEEE Geosci. Remote. Sens. Lett. 10(6): 1522-1526 (2013) - [j7]Rob Heylen, Paul Scheunders:
Hyperspectral Intrinsic Dimensionality Estimation With Nearest-Neighbor Distance Ratios. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 570-579 (2013) - [j6]Dzevdet Burazerovic, Rob Heylen, Bert Geens, Sindy Sterckx, Paul Scheunders:
Detecting the Adjacency Effect in Hyperspectral Imagery With Spectral Unmixing Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1070-1078 (2013) - [j5]Rob Heylen, Paul Scheunders:
Multidimensional Pixel Purity Index for Convex Hull Estimation and Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 51(7-1): 4059-4069 (2013) - [c12]Rob Heylen, Muhammad Awais Akhter, Paul Scheunders:
Solving the hyperspectral unmixing problem with projection onto convex sets. EUSIPCO 2013: 1-5 - [c11]Rob Heylen, Paul D. Gader, Paul Scheunders:
Handling spectral variability with alternating angle minimization. WHISPERS 2013: 1-4 - [c10]Rob Heylen, Paul Scheunders:
Multi-dimensional pixel purity index. WHISPERS 2013: 1-4 - 2012
- [j4]Rob Heylen, Paul Scheunders:
Calculation of Geodesic Distances in Nonlinear Mixing Models: Application to the Generalized Bilinear Model. IEEE Geosci. Remote. Sens. Lett. 9(4): 644-648 (2012) - [c9]Rob Heylen, Paul Scheunders:
Estimating the number of endmembers in hyperspectral imagery with nearest neighbor distances. IGARSS 2012: 1377-1380 - [c8]Dzevdet Burazerovic, Bert Geens, Rob Heylen, Sindy Sterckx, Paul Scheunders:
Unmixing for detection and quantification of adjacency effects. IGARSS 2012: 3090-3093 - [c7]Rob Heylen, Paul Scheunders:
A fast geometric algorithm for solving the inversion problem in spectral unmixing. WHISPERS 2012: 1-4 - 2011
- [j3]Rob Heylen, Dzevdet Burazerovic, Paul Scheunders:
Non-Linear Spectral Unmixing by Geodesic Simplex Volume Maximization. IEEE J. Sel. Top. Signal Process. 5(3): 534-542 (2011) - [j2]Rob Heylen, Dzevdet Burazerovic, Paul Scheunders:
Fully Constrained Least Squares Spectral Unmixing by Simplex Projection. IEEE Trans. Geosci. Remote. Sens. 49(11): 4112-4122 (2011) - [c6]Rob Heylen, Paul Scheunders:
Non-linear fully-constrained spectral unmixing. IGARSS 2011: 1295-1298 - [c5]Dzevdet Burazerovic, Rob Heylen, Paul Scheunders:
Towards streaming hyperspectral endmember extraction. IGARSS 2011: 2519-2522 - [c4]Rob Heylen, Paul Scheunders:
Spectral unmixing using distance geometry. WHISPERS 2011: 1-4 - 2010
- [c3]Rob Heylen, Paul Scheunders:
Nonlinear barycentric dimensionality reduction. ICIP 2010: 1341-1344 - [c2]Rob Heylen, Dzevdet Burazerovic, Paul Scheunders:
A graph-based method for non-linear unmixing of hyperspectral imagery. IGARSS 2010: 197-200
2000 – 2009
- 2007
- [j1]Désiré Bollé, Rob Heylen:
Adaptive Thresholds for Neural Networks with Synaptic Noise. Int. J. Neural Syst. 17(4): 241-252 (2007) - 2006
- [c1]Désiré Bollé, Rob Heylen:
Adaptive Thresholds for Layered Neural Networks with Synaptic Noise. ICANN (1) 2006: 678-687
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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