-
document
-
Mulder, Amber (author)
Semantic segmentation (or pixel-level classification) of remotely sensed imagery has shown to be useful for applications in fields as mapping of land cover, object detection, change detection and land-use analysis. Deep learning algorithms called convolutional neural networks (CNNs) have shown to outperform traditional computer vision and...
master thesis 2020
Source URL (retrieved on 2024-05-24 22:41): https://repository.tudelft.nl/islandora/search/contributor%3A%22Stoter%2C%20Jantien%20%28graduation%20committee%29%22?f%5B0%5D=mods_genre_s%3A%22master%5C%20thesis%22&f%5B1%5D=mods_subject_topic_ss%3A%22Semantic%5C%20segmentation%22&f%5B2%5D=mods_subject_topic_ss%3A%22RGB%5C-Z%22