Sökning: "multitemporal"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet multitemporal.

1. 1. Spatiotemporal changes in Gothenburg municipality's green space, 1986 to 2019

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Kristin Blinge; [2021-04-01]
   Nyckelord :NDVI; multitemporal change analysis; incremental change; urbanization;

   Sammanfattning : As the world’s population is becoming increasingly more urban the infrastructure expands to accommodate the inhabitants’ needs. In a dense urban environment green space has an important function since it provides vital ecosystem services, contributes to recreational and cultural values and is essential for biodiversity. LÄS MER

3. 2. Speech Emotion Recognition from Raw Audio using Deep Learning

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

   Författare :Jonathan Rintala; [2020]
   Nyckelord :Speech Emotion Recognition; Feature Learning; Deep Learning; Audio; SER; CNN; LSTM; Känsloigenkänning; Djupinlärning; Ljud; SER; CNN; LSTM;

   Sammanfattning : Traditionally, in Speech Emotion Recognition, models require a large number of manually engineered features and intermediate representations such as spectrograms for training. However, to hand-engineer such features often requires both expert domain knowledge and resources. LÄS MER

4. 3. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment

   Master-uppsats, KTH/Geoinformatik

   Författare :Oliver Stromann; [2018]
   Nyckelord :Feature Extraction; Feature Selection; Dimensionality Reduction; Supervised Object-Based Land Cover Classification; Google Earth Engine;

   Sammanfattning : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. LÄS MER

5. 4. Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest

   Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

   Författare :Marc Nelson; [2017]
   Nyckelord :Forest classification; multitemporal; sentinel-2; sentinel 2; classification; forest; random forest; machine learning; cadasterENV; sweden; remote sensing; GIS; geomatics; land cover;

   Sammanfattning : The mapping of land cover using remotely sensed data is most effective when a robust classification method is employed. Random forest is a modern machine learning algorithm that has recently gained interest in the field of remote sensing due to its non-parametric nature, which may be better suited to handle complex, high-dimensional data than conventional techniques. LÄS MER

7. 5. Multitemporal Satellite Data for Monitoring Urbanization in Nanjing from 2001 to 2016

   Master-uppsats, KTH/Geoinformatik

   Författare :Zipan Cai; [2017]
   Nyckelord :Urbanization; Nanjing; Remote Sensing; GIS; Support Vector Machine; Post-Classification Comparison; Change Vector Analysis;

   Sammanfattning : Along with the increasing rate of urbanization takes place in the world, the population keeps shifting from rural to urban areas. China, as the country of the largest population, has the highest urban population growth in Asia, as well as the world. LÄS MER