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ORCIDFadi Kizel
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2020 – today
- 2024
[j10]Inbal Ronay
, Ran Nisim Lati, Fadi Kizel:
Spectral mixture analysis for weed traits identification under varying resolutions and growth stages. Comput. Electron. Agric. 220: 108859 (2024)- [j9]Guy Atsmon, Alireza Pourreza, Yuto Kamiya, Mohsen B. Mesgaran, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati:
Clustering symptomatic pixels in broomrape-infected carrots facilitates targeted evaluations of alterations in host primary plant traits. Comput. Electron. Agric. 220: 108893 (2024) - [j8]Inbal Ronay, Ran Nisim Lati, Fadi Kizel:
Weed Species Identification: Acquisition, Feature Analysis, and Evaluation of a Hyperspectral and RGB Dataset with Labeled Data. Remote. Sens. 16(15): 2808 (2024) - 2023
- [j7]Fadi Kizel, Yulia Vidro:
An unmixing-based BRDF correction in spectral remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 118: 103161 (2023) - 2022
- [j6]Guy Atsmon, Omer Nehurai, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati:
Hyperspectral imaging facilitates early detection of Orobanche cumana below-ground parasitism on sunflower under field conditions. Comput. Electron. Agric. 196: 106881 (2022) - [j5]Somaya Falah, Alaa Mhawish, Ali H. Omar, Meytar Sorek-Hamer, Alexei I. Lyapustin, Tirthankar Banerjee, Fadi Kizel, David M. Broday:
Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions. Remote. Sens. 14(15): 3667 (2022) - 2021
- [c5]Fadi Kizel:
Resolution Enhancement of Unsupervised Classification Maps Through Data Fusion of Spectral and Visible Images from Different Sensing Instruments. IGARSS 2021: 2887-2890 - 2020
- [j4]Fadi Kizel, Jón Atli Benediktsson:
Spatially Enhanced Spectral Unmixing Through Data Fusion of Spectral and Visible Images from Different Sensors. Remote. Sens. 12(8): 1255 (2020)
2010 – 2019
- 2019
- [c4]Ido Faran, Nathan S. Netanyahu, Eli (Omid) David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud:
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data. IGARSS 2019: 807-810 - [i1]Ido Faran, Nathan S. Netanyahu, Eli David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud:
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data. CoRR abs/1911.10442 (2019) - 2018
- [j3]Fadi Kizel, Jón Atli Benediktsson, Lorenzo Bruzzone, Gro B. M. Pedersen, Olga K. Vilmundardottir, Nicola Falco:
Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 2047-2058 (2018) - [c3]Fadi Kizel, Jón Atli Benediktsson:
Data Fusion of Spectral and Visible Images for Resolution Enhancement of Fraction Maps Through Neural Network and Spatial Statistical Features. WHISPERS 2018: 1-5 - 2017
- [j2]Fadi Kizel, Maxim Shoshany, Nathan S. Netanyahu, Gilad Even-Tzur, Jón Atli Benediktsson:
A Stepwise Analytical Projected Gradient Descent Search for Hyperspectral Unmixing and Its Code Vectorization. IEEE Trans. Geosci. Remote. Sens. 55(9): 4925-4943 (2017) - [c2]Fadi Kizel, Lorenzo Bruzzone, Jón Atli Benediktsson:
Simultaneous empirical line calibration of multiple spectral images. IGARSS 2017: 4185-4188 - 2015
- [c1]Fadi Kizel, Maxim Shoshany, Nathan S. Netanyahu:
Spatially adaptive hyperspectral unmixing based on sums of 2D Gaussians for modelling endmember fraction surfaces. IGARSS 2015: 4440-4443 - 2011
- [j1]Maxim Shoshany, Fadi Kizel, Nathan S. Netanyahu, Naftali Goldshlager, Thomas Jarmer, Gilad Even-Tzur:
An Iterative Search in End-Member Fraction Space for Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 8(4): 706-709 (2011)
Coauthor Index
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