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ORCIDOnkar Dikshit
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2020 – today
- 2024
[j8]Rashmi Malik
, Gulab Singh, Onkar Dikshit, Yoshio Yamaguchi:
Model-Based Nine-Component Scattering Matrix Power Decomposition. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- 2023
- [j7]Rashmi Malik, Gulab Singh, Onkar Dikshit, Yoshio Yamaguchi:
General Five-Component Scattering Power Decomposition with Unitary Transformation (G5U) of Coherency Matrix. Remote. Sens. 15(5): 1332 (2023) - 2022
- [c10]Naveen Ramachandran, Onkar Dikshit:
Forest Aboveground Biomass Estimation from Airborne L-Band SAR Data Using Machine Learning. IGARSS 2022: 6403-6405 - [i2]Jagadish Boodala, Onkar Dikshit, Nagarajan Balasubramanian:
Automated generalisation of buildings using CartAGen platform. CoRR abs/2204.01544 (2022) - 2021
- [j6]Naveen Ramachandran, Sassan Saatchi, Stefano Tebaldini, Mauro Mariotti d'Alessandro, Onkar Dikshit:
Evaluation of P-Band SAR Tomography for Mapping Tropical Forest Vertical Backscatter and Tree Height. Remote. Sens. 13(8): 1485 (2021)
2010 – 2019
- 2019
- [i1]Ashutosh Tiwari, Avadh Bihari Narayan, Onkar Dikshit:
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing. CoRR abs/1909.01868 (2019) - 2018
- [j5]Avadh Bihari Narayan, Ashutosh Tiwari, Ramji Dwivedi, Onkar Dikshit:
Persistent Scatter Identification and Look-Angle Error Estimation Using Similar Time-Series Interferometric Pixels. IEEE Geosci. Remote. Sens. Lett. 15(1): 147-150 (2018) - [j4]Avadh Bihari Narayan, Ashutosh Tiwari, Ramji Dwivedi, Onkar Dikshit:
A Novel Measure for Categorization and Optimal Phase History Retrieval of Distributed Scatterers for InSAR Applications. IEEE Trans. Geosci. Remote. Sens. 56(10): 5843-5849 (2018) - [c9]Naveen Ramachandran, Onkar Dikshit:
Experimental Validation of Compact Tomosar for Vegetation Characterization. IGARSS 2018: 6727-6730 - 2017
- [j3]Anand Mehta, Onkar Dikshit:
Segmentation-Based Projected Clustering of Hyperspectral Images Using Mutual Nearest Neighbour. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5237-5244 (2017) - [j2]Brajesh Kumar, Onkar Dikshit:
Spectral Contextual Classification of Hyperspectral Imagery With Probabilistic Relaxation Labeling. IEEE Trans. Cybern. 47(12): 4380-4391 (2017) - [c8]Divyesh Varade, Anudeep Sure, Onkar Dikshit:
Evaluation of multi-spectral cube from multi-sensor imagery corresponding to hyperspectral imagery. IGARSS 2017: 656-659 - [c7]Akash Ashapure, Anand Mehta, Onkar Dikshit, Jinha Jung:
Ensemble classifier based training data refinement technique for classification of remotely sensed optical images. IGARSS 2017: 3246-3249 - 2015
- [j1]Brajesh Kumar, Onkar Dikshit:
Spectral-Spatial Classification of Hyperspectral Imagery Based on Moment Invariants. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2457-2463 (2015) - [c6]Ramji Dwivedi, Prabal Varshney, Ashutosh Tiwari, Avadh Bihari Narayan, Ajai Kumar Singh, Onkar Dikshit, Kumar Pallav:
Monitoring of landslides in Nainital, Uttarakhand, India: Validation of PS-InSAR results. JURSE 2015: 1-4 - [c5]Brajesh Kumar, Onkar Dikshit:
Integrating spectral and textural features for urban land cover classification with hyperspectral data. JURSE 2015: 1-4
2000 – 2009
- 2003
- [c4]Virendra Pathak, Onkar Dikshit:
Neuro-textural classification of indian urban environment. IGARSS 2003: 1984-1986 - [c3]Virendra Pathak, Onkar Dikshit:
Segment based classification using IRS-1C, LISS-III data. IGARSS 2003: 3513-3515 - [c2]S. K. Katiyar, Onkar Dikshit, Krishna A. Kumar:
Linear pushbroom model for IRS-1C/D satellite imaging geometry. IGARSS 2003: 3613-3615 - [c1]S. K. Katiyar, Onkar Dikshit, Krishna Kumar:
Ground control for the geometric correction of PAN imagery from Indian remote sensing (IRS) satellites. IGARSS 2003: 4041-4043
Coauthor Index
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