Sökning: "Thermal Infrared Images"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden Thermal Infrared Images.
1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER
2. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. LÄS MER
3. Förbättra allmänhetens engagemang i energibesparingsåtgärder i byggnader : Värmekamerans hjälp till villaägarnas förståelse och upptäckt av energiförluster
Uppsats för yrkesexamina på grundnivå, Mälardalens högskola/Akademin för ekonomi, samhälle och teknikSammanfattning : Purpose: this degree project investigates the homeowner’s knowledge about their energy use and the impact of using visualisation tools such as thermal imaging to enhance public engagement in energy conservation in building. Additionally, the study try to increase the understanding of how people's behavior affects the energy use in buildings. LÄS MER
4. Use of Thermal Imagery for Robust Moving Object Detection
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : This work proposes a system that utilizes both infrared and visual imagery to create a more robust object detection and classification system. The system consists of two main parts: a moving object detector and a target classifier. LÄS MER
5. Thermographic Measurements of Hot Materials Using a Low- to High-speed RGB-camera : Prospect of RGB-cameras Within the Field of Thermographic Measurements
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : Monitoring the thermal behavior of material while heated or cooled is of great importance in order to understand the structural behavior of materials. This thesis aims to investigate the prospects for imaging hot materials using an RGB-camera. LÄS MER