A5065744735- Remote-Sensing Image Classification
- Cancer and Skin Lesions
- Remote Sensing and Land Use
- Advanced Image Fusion Techniques
- Urbanism, Landscape, and Tourism Studies
- Bone health and treatments
- Geochemistry and Geologic Mapping
- Environmental Education and Sustainability
- Digital Games and Media
- Media and Digital Communication
- Journalism and Media Studies
- Virtual Reality Applications and Impacts
- Educational Games and Gamification
- Breast Lesions and Carcinomas
- Remote Sensing in Agriculture
- Thyroid Cancer Diagnosis and Treatment
- Remote Sensing and LiDAR Applications
- Automated Road and Building Extraction
- Cancer Diagnosis and Treatment
- Archaeological and Historical Studies
- Radiopharmaceutical Chemistry and Applications
University of Patras
2024-2025
University of Thessaly
2020-2022
Accurate and robust information on land cover changes in urban coastal areas is essential for effective management, ecosystem monitoring, planning. This paper details the methodology results of a pixel-level classification change detection analysis, leveraging 1945 Royal Air Force (RAF) aerial imagery 2011 Very High-Resolution (VHR) multispectral WorldView-2 satellite from broader area Patras, Greece. Our attention mainly focused coastline city Patras to northeast direction two major rivers,...
Decision fusion plays a crucial role in achieving cohesive and unified outcome by merging diverse perspectives. Within the realm of remote sensing classification, these methodologies become indispensable when synthesizing data from multiple sensors to arrive at conclusive decisions. In our study, we leverage fully Polarimetric Synthetic Aperture Radar (PolSAR) thermal infrared establish distinct decisions for each pixel pertaining its land cover classification. To enhance classification...
Combining various viewpoints to produce coherent and cohesive results requires decision fusion. These methodologies are essential for synthesizing data from multiple sensors in remote sensing classification order make conclusive decisions. Using fully polarimetric Synthetic Aperture Radar (PolSAR) imagery, our study combines the benefits of both approaches detection by extracting Pauli’s Krogager’s decomposition components. The Local Pattern Differences (LPD) method was employed on every...
Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | 1479-6848 (online)