A5045574319- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Remote Sensing in Agriculture
- Hydrology and Drought Analysis
- Infrared Target Detection Methodologies
- Climate change impacts on agriculture
- Oceanographic and Atmospheric Processes
- Geochemistry and Geologic Mapping
- Oil Spill Detection and Mitigation
- Child Welfare and Adoption
- Hydrology and Watershed Management Studies
- Maternal Mental Health During Pregnancy and Postpartum
- Parasites and Host Interactions
- Climate variability and models
- Ocean Waves and Remote Sensing
- Amoebic Infections and Treatments
- Remote Sensing and LiDAR Applications
- Arctic and Antarctic ice dynamics
- Land Use and Ecosystem Services
- Image Enhancement Techniques
- Parasitic Infections and Diagnostics
- Flood Risk Assessment and Management
- Marine and coastal ecosystems
- Homelessness and Social Issues
University of Tehran
2015-2023
American Society for Photogrammetry and Remote Sensing
2021
K.N.Toosi University of Technology
2021
Flood has long been known as one of the most catastrophic natural hazards worldwide. Mapping flood-prone areas is an important part flood disaster management. In this study, a susceptibility mapping framework was developed based on novel integration nature-inspired algorithms into support vector regression (SVR). To end, various remote sensing (RS) and geographic information system (GIS) datasets were applied to hybridized SVR models map in Ahwaz township, Iran. The proposed two main steps:...
This paper focuses on spatial quality assessment of pan-sharpened imagery that contains valuable information input images. Its aim is to show fusion functions respond differently different types landscapes. It compares a an object-level procedure with conventional pixel-level-based which assigns uniform scores all image pixels To do so, after performing series pan-sharpening evaluations, weighted for assessments products, allocating spatially varying weight factors the proportional their...