SCCS Colloquium - Jan 9, 2020
|Date:||January 9, 2020|
|Time:||15:00 - 16:00|
[CANCELED] Nikolaos Ioannis Bountos: Subpixel Classification of Anthropogenic Features Using Deep Learning on Sentinel-2 Data
Master's thesis submission talk. Nikolaos is advised by Prof. Thomas Huckle.
The classification of specific urban features is important to monitor and manage the growth of settlements. In this work, we investigate the performance of different deep learning architectures for subpixel classification on Sentinel-2 data using labels derived from UAV images for the mentioned kind of features. We trained different deep learning models based on state of the art architectures, such as DeepLabv3 and U-Net. We investigate early and late fusion approaches as well as the behavior and contribution of extra multispectral bands for the improvement of the performance of the models that simply use the RGB channels. Furthermore, we propose a data augmentation method based on acquiring images on the same area from different times of the year in order to improve the models’ generalization. We provide extensive quantitative evaluation of our methods as well as visual experiments. Additionally, we compare the visual results with traditional methods such as SVM and Random Forests.
Keywords: Remote Sensing, Computer Vision, Subpixel classification