Analysis of surface water resources using Sentinel-2 imagery U Bhangale, S More, T Shaikh, S Patil, N More Procedia Computer Science 171, 2645-2654, 2020 | 36 | 2020 |
Near real-time crowd counting using deep learning approach U Bhangale, S Patil, V Vishwanath, P Thakker, A Bansode, D Navandhar Procedia Computer Science 171, 770-779, 2020 | 28 | 2020 |
High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data U Bhangale, SS Durbha, RL King, NH Younan, R Vatsavai Remote Sensing of Environment 202, 28-44, 2017 | 27 | 2017 |
Rapid earthquake damage detection using deep learning from VHR remote sensing images U Bhangale, S Durbha, A Potnis, R Shinde IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 19 | 2019 |
Big data processing using HPC for remote sensing disaster data UM Bhangale, KR Kurte, SS Durbha, RL King, NH Younan 2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016 | 19 | 2016 |
Accelerating big data processing chain in image information mining using a hybrid HPC approach KR Kurte, UM Bhangale, SS Durbha, RL King, NH Younan 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 13 | 2016 |
Portability and acceleration of deep learning inferences to detect rapid earthquake damage from vhr remote sensing images using intel openvino toolkit S Bernabé, C González, A Fernández, U Bhangale IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 11 | 2021 |
Semantics and high performance computing driven approaches for enhanced exploitation of Earth observation (EO) data: State of the art SS Durbha, KR Kurte, U Bhangale Proceedings of the National Academy of Sciences, India Section A: Physical …, 2017 | 6 | 2017 |
Efficient computer forensic analysis using machine learning approaches T Toraskar, U Bhangale, S Patil, N More 2019 IEEE Bombay Section Signature Conference (IBSSC), 1-5, 2019 | 5 | 2019 |
High performance SIFT feature classification of VHR satellite imagery for disaster management UM Bhangale, SS Durbha 2014 IEEE Geoscience and Remote Sensing Symposium, 3574-3577, 2014 | 5 | 2014 |
Identification of informal settlement using Remote Sensing Images U Bhangale, V Rathod, N Rajgor, J Rami, K Kurte Proceedings of the International Conference on Advances in Information …, 2016 | 3 | 2016 |
High performance SIFT features clustering of VHR satellite images for disaster management U Bhangale, S Durbha Proceedings of the Third International Symposium on Women in Computing and …, 2015 | 3 | 2015 |
Rapid Flood Detection Using Remote Sensing Images S Patil, U Bhangale, A Khatri, S Gudkha, R Savla 2019 International Conference on Advances in Computing, Communication and …, 2019 | 2 | 2019 |
Comparative study of color iris recognition: DCT vs. vector quantization approaches in rgb and hsv color spaces NM Suchitra Patil, Ujwala Bhangale 2017 International Conference on Advances in Computing, Communications and …, 2017 | 2 | 2017 |
Cloud detection in satellite imagery using graphics processing units UM Bhangale, SS Durbha 2013 IEEE international geoscience and remote sensing symposium-IGARSS, 270-273, 2013 | 2 | 2013 |
Semantic understanding of high spatial resolution remote sensing images using directional geospatial relationships S Ahuja, S Patil, U Bhangale Annals of GIS 29 (3), 401-414, 2023 | 1 | 2023 |
Geospatial Policy in India: Impact, Opportunities and Challenges in Education S Chaudhari, U Bharambe, U Bhangale IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications SS Durbha, J Sanyal, L Yang, SS Chaudhari, U Bhangale, U Bharambe, ... CRC Press, 2023 | | 2023 |
Role of Multi-objective Optimization in Image Segmentation and Classification U Bharambe, U Bhangale, C Narvekar Computational Intelligence in Image and Video Processing, 317-340, 2023 | | 2023 |