A5022144144- Remote-Sensing Image Classification
- Synthetic Aperture Radar (SAR) Applications and Techniques
- IoT and Edge/Fog Computing
- Medical Image Segmentation Techniques
- Advanced SAR Imaging Techniques
- Image Retrieval and Classification Techniques
- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
- Infrared Target Detection Methodologies
Tata Consultancy Services (India)
2024
Embedded Systems (United States)
2023
Khulna University
2021
Image segmentation has been considered as one of the most important tool for image processing in many application computer vision, remote sensing, medical science and so on. The principle target is way toward partitioning an into various fragments that cover whole image. However, it very challenging task to segment or images exactly. This paper proposes a customized k-means clustering based method. form this technique implies algorithm, de-noising factor associated with velocity field each...
With the drastic increase of Remote Sensing payloads both in terms satellite count and advancements sensing technologies resolution, automatic matching registration Synthetic Aperture Radar (SAR)-Optical images for mission-critical applications with time efficiency high accuracy is a must. Optical SAR sensors utilise distinct imaging techniques. As result, process from these two modalities not only less precise but also requires significant amount time. In this study, we introduce an...
The growing need for artificial intelligence in multitude of domains has over the past few years triggered some concerns related to latency and reliability when huge amounts sensor data are moved from sensors cloud computation. These concerns, coupled with sustainability drives green computing, have emerged as key drivers move computation closer source, on devices which often less power-hungry compared machines at centers. However, close sources, or sensors, typically constrained terms...