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Visar resultat 1 - 5 av 18 uppsatser som matchar ovanstående sökkriterier.

1. 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 ekosystemvetenskap

   Författare :Anastasia Sarelli; [2024]
   Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

   Sammanfattning : 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

3. 2. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Hanna Hamrell; [2021]
   Nyckelord :machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

   Sammanfattning : 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

4. 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 teknik

   Författare :Alva Andersson; Natalie Leppänen; [2021]
   Nyckelord :Infrared thermography; heat losses; energy efficient buildings; energy and public engagement; heat visualisation; energy and behavior; energy awareness; Värmeförluster; köldbryggor; energieffektivisering; termografering; levnadsvanor; beteendeförändring; medvetenhet; visualisering;

   Sammanfattning : 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

5. 4. Privacy-preserving Building Occupancy Estimation via Low-Resolution Infrared Thermal Cameras

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shuai Zhu; [2021]
   Nyckelord :Building occupancy estimation; People counting; Privacy-preserving; Low-resolution thermal camera; Multiple Object Detection; Multiple Object Tracking; Uppskattning av bebyggelse; personräkning; integritetsbevarande; värmekamera med låg upplösning; detektering av flera objekt; spårning av flera objekt;

   Sammanfattning : Building occupancy estimation has become an important topic for sustainable buildings that has attracted more attention during the pandemics. Estimating building occupancy is a considerable problem in computer vision, while computer vision has achieved breakthroughs in recent years. LÄS MER

7. 5. Use of Thermal Imagery for Robust Moving Object Detection

   Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Hannah Bergenroth; [2021]
   Nyckelord :Moving object detection; background subtraction; convolutional neural network; image fusion;

   Sammanfattning : 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