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ORCIDPattathal V. Arun 0001
Person information
- affiliation: Ben Gurion University of the Negev, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Israel
- affiliation (PhD 2020): Indian Institute of Information Technology, Centre of Studies in Resources Engineering, CSRE, Sri City, Chittoor, India
Other persons with the same name
- Pattathal V. Arun — disambiguation page
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Journal Articles
- 2025
[j15]Dong Zhao, Haorui Zhang, Kunpeng Huang, Xuguang Zhu, Pattathal V. Arun, Wenhao Jiang, Shiyu Li, Xiaofang Pei, Huixin Zhou:
SASU-Net: Hyperspectral video tracker based on spectral adaptive aggregation weighting and scale updating. Expert Syst. Appl. 272: 126721 (2025)- 2024
- [j14]Pattathal V. Arun, Arnon Karnieli
:
Reinforced deep learning approach for analyzing spaceborne-derived crop phenology. Int. J. Appl. Earth Obs. Geoinformation 131: 103984 (2024) - 2023
- [j13]Maitreya Mohan Sahoo, R. Kalimuthu, Pattathal V. Arun, Alok Porwal, Shibu K. Mathew:
Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples. Remote. Sens. 15(13): 3300 (2023) - 2022
- [j12]Pattathal V. Arun, Arnon Karnieli:
Deep feature learning and latent space encoding for crop phenology analysis. Expert Syst. Appl. 187: 115929 (2022) - [j11]Pattathal V. Arun, Roy Sadeh, Asaf Avneri, Yaniv Tubul, Carlos Camino, Krishna Mohan Buddhiraju, Alok Porwal, Ran Nisim Lati, Pablo J. Zarco-Tejada, Zvi Peleg, Ittai Herrmann:
Multimodal Earth observation data fusion: Graph-based approach in shared latent space. Inf. Fusion 78: 20-39 (2022) - [j10]Pattathal V. Arun, Arnon Karnieli:
Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection. Neural Comput. Appl. 34(13): 10929-10948 (2022) - [j9]Pattathal V. Arun, Arnon Karnieli:
Augmentation of Vegetation Index Curves Considering the Crop-Specific Phenological Characteristics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1235-1243 (2022) - 2021
- [j8]Pattathal V. Arun, Arnon Karnieli:
Deep Learning-Based Phenological Event Modeling for Classification of Crops. Remote. Sens. 13(13): 2477 (2021) - 2020
- [j7]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot:
CNN based spectral super-resolution of remote sensing images. Signal Process. 169: 107394 (2020) - [j6]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot:
CNN-Based Super-Resolution of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(9): 6106-6121 (2020) - 2019
- [j5]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images. Comput. Vis. Image Underst. 188 (2019) - [j4]Pattathal V. Arun, Ittai Herrmann, Krishna M. Budhiraju, Arnon Karnieli:
Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images. Pattern Recognit. 88: 431-446 (2019) - [j3]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1849-1865 (2019) - 2018
- [j2]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
CNN based sub-pixel mapping for hyperspectral images. Neurocomputing 311: 51-64 (2018) - [j1]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches. IEEE Geosci. Remote. Sens. Lett. 15(2): 262-266 (2018)
Conference and Workshop Papers
- 2024
- [c10]Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal:
Open-Set Identification of Minerals From CRISM Hyperspectral Data. IGARSS 2024: 6164-6167 - 2023
- [c9]Pattathal V. Arun, Maitreya Mohan Sahoo, Alok Porwal:
Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission. IGARSS 2023: 4202-4205 - [c8]Maitreya Mohan Sahoo, R. Kalimuthu, Pattathal V. Arun, Shibu K. Mathew, Alok Porwal:
Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite. IGARSS 2023: 7606-7609 - [c7]Soorya Suresh, Pattathal V. Arun, Alok Porwal:
Spectral Unmixing in Generative Space: 3D-GAN Based Approach. WHISPERS 2023: 1-6 - 2021
- [c6]Maitreya Mohan Sahoo, Pattathal V. Arun, Alok Porwal:
Support Vector Machines for Unmixing Geological Mixtures. WHISPERS 2021: 1-6 - 2018
- [c5]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales. IGARSS 2018: 7129-7132 - [c4]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Analysis of capsulenets towards hyperspectral classification. WHISPERS 2018: 1-5 - 2016
- [c3]Pattathal V. Arun, Krishna Mohan Buddhiraju:
Classification and clustering perspective towards spectral unmxing. IGARSS 2016: 6145-6148 - [c2]Pattathal V. Arun, Krishna Mohan Buddhiraju:
A deep learning based spatial dependency modelling approach towards super-resolution. IGARSS 2016: 6533-6536 - [c1]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal:
Integration of contextual knowledge in unsupervised sub-pixel classification. WHISPERS 2016: 1-5
Coauthor Index
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