Sökning: "geo-referenced data"

Visar resultat 1 - 5 av 12 avhandlingar innehållade orden geo-referenced data.

1. 1. Deep Learning for Geo-referenced Data : Case Study: Earth Observation

   Författare :Nosheen Abid; Marcus Liwicki; Muhammad Zeshan Afzal; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Artificial Intelligence; Machine Learning; Earth Observation; Computer Vision; Machine Learning; Maskininlärning;

   Sammanfattning : The thesis focuses on machine learning methods for Earth Observation (EO) data, more specifically, remote sensing data acquired by satellites and drones. EO plays a vital role in monitoring the Earth’s surface and modelling climate change to take necessary precautionary measures. LÄS MER

3. 2. Topological and Scaling Analysis of Geospatial Big Data

   Författare :Ding Ma; Bin Jiang; Shaowen Wang; Högskolan i Gävle; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Third definition of fractal; scaling; topology; power law; head tail breaks; ht-index; complex network; geospatial big data; natural cities; natural streets; Hållbar stadsutveckling; Sustainable Urban Development;

   Sammanfattning : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. LÄS MER

4. 3. Vision-Based Localization and Guidance for Unmanned Aerial Vehicles

   Författare :Gianpaolo Conte; Patrick Doherty; Rod Walker; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Unmanned Aerial Vehicles; Guidance; Kalman filter; Vision-based Navigation; Geo-referenced Imagery; Autonomous Landing; Target Geo-location; Computer science; Datavetenskap;

   Sammanfattning : The thesis has been developed as part of the requirements for a PhD degree at the Artificial Intelligence and Integrated Computer System division (AIICS) in the Department of Computer and Information Sciences at Linköping University.The work focuses on issues related to Unmanned Aerial Vehicle (UAV) navigation, in particular in the areas of guidance and vision-based autonomous flight in situations of short and long term GPS outage. LÄS MER

5. 4. Data driven crop disease modeling

   Författare :Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

   Sammanfattning : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. LÄS MER

7. 5. Cooperation and Conflict amid Water Scarcity

   Författare :Stefan Döring; Håvard Hegre; Ashok Swain; Päivi Lujala; Uppsala universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; conflict; cooperation; water; water scarcity; drought; communal violence; non-state actors; environmental peacebuilding; environmental security; groundwater; water security; geo-referenced data; climate variability; natural disaster; resilience; Peace and Conflict Research; Freds- och konfliktforskning;

   Sammanfattning : Over two billion people remain without safe drinking water and more than four billion lack basic access to sanitation. Safely managing water is key for livelihoods, food security, energy production, and overall socio-economic development. This dissertation analyzes how scarce water resources affect cooperation and conflict. LÄS MER