A5016369641- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Water-Energy-Food Nexus Studies
- Advanced Image Fusion Techniques
- Urban Heat Island Mitigation
- Robotics and Automated Systems
- Advanced Image Processing Techniques
- Fire Detection and Safety Systems
- Digital Marketing and Social Media
- Urban Green Space and Health
- Handwritten Text Recognition Techniques
- Explainable Artificial Intelligence (XAI)
- Image and Signal Denoising Methods
- Emotion and Mood Recognition
- Flood Risk Assessment and Management
- Membrane Separation Technologies
- Winter Sports Injuries and Performance
- Image and Object Detection Techniques
- AI in Service Interactions
- Video Surveillance and Tracking Methods
- Solar-Powered Water Purification Methods
- Currency Recognition and Detection
- Cryospheric studies and observations
Bharati Vidyapeeth Deemed University
2017-2024
Delhi Technological University
2019-2020
Stress is a common concern affecting all the age groups, negative consequences on both physical and mental health. Early identification management of stress are essential for maintaining overall well-being. A system designed to detect can assist individuals in monitoring regulating their levels. According recent study by Brain Health Foundation, approximately 10% India’s population suffers from conditions like stress, anxiety, depression, which negatively impact quality life. This detection...
The unplanned growth of urbanization in towns and cities has led to variations Land Surface Temperature (LST) as the green lands are converted into impervious structures without land cover management. In this study, an effort is made study transformational change natural area over years its impact on LST Ernakulum District Kerala, India. As per current statistics from one reports "Observed Rainfall Variability Changes Over Kerala State", by Indian Metrological Department January 2020 shows...
The present work aims at classifying the natural and man-made objects by fusing features of coarse resolution hyperspectral (1 m) LWIR fine (20 cm) RGB data. classified results comprise five classes namely, road, trees, building, vegetation soil. methodology includes extraction spatial spectral to obtain knowledge base for various classes. Besides index morphological building index, extracted also include textural database on values all different After extracting these features, bounding...
Background: Planning and development of urban areas to meet the human developmental requirements is an ongoing process across globe. This, in turn, requires continuous mapping patterns. Remote sensing image processing techniques have greatly facilitated study patterns by areas. Objectives: The objective paper carry out object based classification environments using fusion on multisensory data classify natural man-made objects. Multisensory spectral spatial features done improve accuracy....