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ORCIDAzam Karami
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2020 – today
- 2023
[j11]Shahrzad Falahatnejad
, Azam Karami:
Maize tassel detection and counting using a YOLOv5-based model. Multim. Tools Appl. 82(13): 19521-19538 (2023)- [j10]Shahrzad Falahatnejad, Azam Karami:
Deep Fusion of Hyperspectral and LiDAR Images Using Attention-Based CNN. SN Comput. Sci. 4(1): 1 (2023) - 2021
- [j9]Azam Karami, Karoll Quijano, Melba M. Crawford:
Advancing Tassel Detection and Counting: Annotation and Algorithms. Remote. Sens. 13(15): 2881 (2021) - 2020
- [j8]Azam Karami, Melba M. Crawford, Edward J. Delp:
Automatic Plant Counting and Location Based on a Few-Shot Learning Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5872-5886 (2020) - [c14]Azam Karami, Melba M. Crawford, Edward J. Delp:
A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting. IGARSS 2020: 1584-1587
2010 – 2019
- 2018
- [c13]Elnaz Sharifi, Azam Karami:
Hyperspectral Unmixing Using Secant Function Optimization. IGARSS 2018: 4257-4260 - [c12]Hossein Rezaei, Azam Karami, Paul Scheunders:
Hyperspectral and Multispectral Image Fusion Based on Spectral Matching in the Shearlet Domain. IGARSS 2018: 8070-8073 - [c11]Mohammad Reza Soleimanzadeh, Azam Karami, Paul Scheunders:
Fusion of Hyperspectral and Lidar Images Using Non-Subsampled Shearlettransform. IGARSS 2018: 8873-8876 - 2017
- [j7]Azam Karami, Laleh Tafakori:
Image denoising using generalised Cauchy filter. IET Image Process. 11(9): 767-776 (2017) - [j6]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) - 2016
- [j5]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) - [j4]Azam Karami, Rob Heylen, Paul Scheunders:
Hyperspectral Image Compression Optimized for Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(10): 5884-5894 (2016) - [c10]Zahra Hashemi Nezhad, Azam Karami, Rob Heylen, Paul Scheunders:
Superresolution of hyperspectral images using spectral unmixing and sparse regularization. IGARSS 2016: 7216-7219 - [c9]Sayyed Ashkan Adibi, Azam Karami, Rob Heylen, Paul Scheunders:
Optical solutions for improving spatial resolution of hyperspectral sensors. WHISPERS 2016: 1-4 - [c8]Shirin Hassanzadeh, Azam Karami, Rob Heylen, Paul Scheunders:
Compression of hyperspectral images using block coordinate descent search and compressed sensing. WHISPERS 2016: 1-4 - [c7]Azam Karami, Rob Heylen, Paul Scheunders:
Denoising of hyperspectral images using shearlet transform and fully constrained least squares unmixing. WHISPERS 2016: 1-5 - 2015
- [j3]Azam Karami, Rob Heylen, Paul Scheunders:
Band-Specific Shearlet-Based Hyperspectral Image Noise Reduction. IEEE Trans. Geosci. Remote. Sens. 53(9): 5054-5066 (2015) - [c6]Azam Karami, Rob Heylen, Paul Scheunders:
Lossy compression of hyperspectral images optimizing spectral unmixing. IGARSS 2015: 5031-5034 - 2014
- [c5]Azam Karami, Rob Heylen, Paul Scheunders:
Hyperspectral image noise reduction and its effect on spectral unmixing. WHISPERS 2014: 1-4 - 2012
- [j2]Azam Karami, Mehran Yazdi, Grégoire Mercier:
Compression of Hyperspectral Images Using Discerete Wavelet Transform and Tucker Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 444-450 (2012) - [c4]Azam Karami, Soosan Beheshti, Mehran Yazdi:
Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning. ISSPA 2012: 809-812 - 2011
- [j1]Azam Karami, Mehran Yazdi, Alireza Zolghadre Asli:
Noise Reduction of Hyperspectral Images Using Kernel Non-Negative Tucker Decomposition. IEEE J. Sel. Top. Signal Process. 5(3): 487-493 (2011) - [c3]Azam Karami, Mehran Yazdi, Grégoire Mercier:
Hyperspectral image compression based on tucker decomposition and wavelet transform. WHISPERS 2011: 1-4 - 2010
- [c2]Azam Karami, Mehran Yazdi, Alireza Zolghadre Asli:
Best rank-r tensor selection using Genetic Algorithm for better noise reduction and compression of Hyperspectral images. ICDIM 2010: 169-173 - [c1]Azam Karami, Mehran Yazdi, Alireza Zolghadre Asli:
Hyperspectral image compression based on Tucker Decomposition and Discrete Cosine Transform. IPTA 2010: 122-125
Coauthor Index
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