Journals

1. Awasthi, S., Phartiyal, G. S., Varade, D., & Jain, K. (2026). A Maxout-Enhanced Robust Deep Convolutional Neural Network Model for Flood Mapping using Sentinel-1 SAR Data. Physics and Chemistry of the Earth, Parts A/B/C, 104316. https://doi.org/https://doi.org/10.1016/j.pce.2026.104316
2. Brodu, D. S. H. Y. K. Daoudi. G. P. N. (2020). Permuted Spectral and Permuted Spectral-Spatial CNN Models for PolSAR- Multispectral Data based Land Cover Classification. International Journal or Remote Sensing, 42(3), 1096–1120.
3. Gupta, S., Maurya, A., Phartiyal, G. S., & Singh, D. (2027). Handbook of Artificial Intelligence-driven Digital Image Analysis for Intelligent Remote Sensing: In progress (S. Gupta, A. Maurya, G. S. Phartiyal, & D. Singh, Eds.; First). CRC Press.
4. Khangarot, L. S., Singh, V., Phartiyal, G. S., Rathore, K., & Singh, D. (2024). Fractional Crop Cover Estimation Via Drone Imagery and Machine Learning With Color Models. IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 4187–4191.
5. Kukunuri, A. N. J., Phartiyal, G. S., & Singh, D. (2024). Land cover mapping of mixed classes using 2D CNN with multi-frequency SAR data. Advances in Space Research, 74(1), 163–181.
6. Kumar, A., Phartiyal, G. S., & Misra, R. (2023). Deep-domain Adaptation Approach based Crop Disease Prediction using UAV Photometry Images. AGU Fall Meeting Abstracts, 2023, IN02-07.
7. Kumar, D., Agrawal, A., & Phartiyal, G. S. (2015). Non iterative LDPC decoding by syndrome generation using Artificial Neural Network. 2015 National Conference on Recent Advances in Electronics & Computer Engineering (RAECE), 22–25.
8. Maurya, A. K., Phartiyal, G. S., & Singh, D. (2016). A critical analysis of polarimetrie signatures on PALSAR 2 data for land cover classification. 2016 11th International Conference on Industrial and Information Systems (ICIIS), 920–924.
9. Parashar, A. K., Phartiyal, G. S., & Kumar, B. (2023). Denoising of fundus images using feed-forward convolutional neural networks. 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM), 1–6.
10. Phartiyal, G. S. (2020). Development of deep learning approaches to extract information from satellite images.
11. Phartiyal, G. S., Bordu, N., Singh, D., Yahia, H., & Daoudi, K. (2020). Permuted Spectral and Permuted Spectral-Spatial CNN Models for PolSAR-Multispectral Data based Land Cover Classification. International Journal of Remote Sensing, 42(3), 1096–1120.
12. Phartiyal, G. S., Brodu, N., Singh, D., & Yahia, H. (2018a). A mixed spectral and spatial Convolutional Neural Network for Land Cover Classification using SAR and Optical data. EGU General Assembly 2018, 20, 12647.
13. Phartiyal, G. S., Brodu, N., Singh, D., & Yahia, H. (2018b). A mixed spectral and spatial Convolutional Neural Network for Land Cover Classification using SAR and Optical data. EGU General Assembly 2018, 20, 12647. https://hal.archives-ouvertes.fr/hal-01693650
14. Phartiyal, G. S., Kumar, K., & Singh, D. (2020). An Improved Land Cover Classification Using Polarization Signatures for PALSAR 2 Data. Advances in Space Research, 65(11), 2622–2635. https://doi.org/10.1016/j.asr.2020.02.028
15. Phartiyal, G. S., Kumar, K., Singh, D., & Singh, K. P. (2017). Optimal use of polarimetric signature on PALSAR-2 data for land cover classification. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4558–4561.
16. Phartiyal, G. S., & Singh, D. (2018). Comparative Study on Deep Neural Network Models for Crop Classification Using Time Series PolSAR and Optical Data. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 425, 675–681. https://doi.org/10.5194/isprs-archives-XLII-5-675-2018
17. Phartiyal, G. S., Singh, D., Brodu, N., & Hussein, Y. (2019). Improved Utilization of PolSAR Polarization Signatures Using Convolutional-Deep Neural Nets For Land Cover Classification. IGARSS 2019.
18. Phartiyal, G. S., Singh, D., & Yahia, H. (2023). Synergistic exploitation of localized spectral-spatial and temporal information with DNNs for multisensor-multitemporal image-based crop classification. International Journal of Applied Earth Observation and Geoinformation, 125, 103595.
19. Phartiyal, G. S., Singh, D., & Yahia, H. (2024). Improved mapping of flood affected villages in India: a novel three-stage approach using PolSAR polarization signatures and ensembled dilated CNNs. International Journal of Remote Sensing, 45(19–20), 7698–7723.
20. , S. D. P. G. (2018). Comparative Study on Deep Neural Network Models for Crop Classification Using Time Series Polsar and Optical Data. ISPar, 425, 675–680.
21. Singh, A. K., Swarup, A., Phartiyal, G. S., & Singh, D. (2020). Computational-vision based orthorectification and georefrencing for correct localization of railway track in UAV imagery. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, 6475–6478.
22. Singh, B., & Phartiyal, G. S. (2022). Introducing ISAP and MATSS: Mental stress induced speech utterance procedure and obtained dataset. Speech Communication, 145, 1–9.
23. Singh, P. G., Bordu, N., Singh, D., Yahia, H., & Daoudi, K. (2020). Permuted Spectral and Permuted Spectral-Spatial CNN Models for PolSAR-Multispectral Data based Land Cover Classification. Https://Doi.Org/10.1080/01431161.2020.1823041, 42(3), 1096–1120. https://doi.org/10.1080/01431161.2020.1823041
24. Trivedi, D., Gotra, S., Phartiyal, G. S., & Singh, D. (2022). An Ultra-Wideband Dual-layer Microstrip Planar Antenna for Radar Imaging System. 2022 IEEE Conference on Antenna Measurements and Applications (CAMA), 1–4.
25. Trivedi, D., Gotra, S., Phartiyal, G. S., & Singh, D. (2023). Modeling and Analysis of Foliage Environment Using Wideband Radar System. 2023 IEEE Conference on Antenna Measurements and Applications (CAMA), 1052–1056.
26. Trivedi, D., Phartiyal, G. S., Kumar, A., & Singh, D. (2024). Synthetic Imaging Radar Data Generation in Various Clutter Environments Using Novel UWB Log-Periodic Antenna. Sensors, 24(24), 7903.