dc.contributor.author | Rabbani, Rabbir Bin | |
dc.date.accessioned | 2020-09-27T19:02:02Z | |
dc.date.available | 2020-09-27T19:02:02Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://hdl.handle.net/11250/2679794 | |
dc.description | Master's thesis in Computer science | en_US |
dc.description.abstract | With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also showed how effective the models are at finding whales in comparatively lower resolution images. Finally, I have used this model to draw bounding boxes around the whales. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | University of Stavanger, Norway | en_US |
dc.relation.ispartofseries | Masteroppgave/UIS-TN-IDE/2020; | |
dc.subject | informasjonsteknologi | en_US |
dc.subject | MobileNet | en_US |
dc.subject | Xception | en_US |
dc.subject | ResNet | en_US |
dc.subject | DenseNet | en_US |
dc.subject | maskinlæring | en_US |
dc.subject | deep learning | en_US |
dc.subject | machine learning | en_US |
dc.subject | classification | en_US |
dc.subject | convolutional neural networks | en_US |
dc.subject | object detection | en_US |
dc.subject | whales | en_US |
dc.subject | hval | en_US |
dc.subject | oceanography | en_US |
dc.subject | computer science | en_US |
dc.subject | satellite images | en_US |
dc.subject | satelittbilder | en_US |
dc.title | Advanced Deep Learning for Whale detection in VHR Satellite Images | en_US |
dc.type | Master thesis | en_US |
dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |