U-Net: Deep Learning for Extracting Building Boundary Collected by Drone of Agadir’s Harbor

Autor: Tarik Chafiq, Soufiane Zerraf, Hayat Hachimi, Mohammed Raji
Rok vydání: 2021
Předmět:
Zdroj: Digital Technologies and Applications ISBN: 9783030738815
Popis: Identification of a specific object in an image might be a trivial task for humans but are often quite challenging for machines. Recently the field has witnessed groundbreaking research with cutting-edge results. However, for real-world application problems of this research remain a challenge. The approach used is based on a training model from a Dataset, and this model will be used in all processing to detect homes from sample images. All the images were extracted from the unmanned aerial vehicle (UAV) recordings. This paper presents a method to detect segmentation of the Building footprint using U-Net architecture; in order to build footprints without needing manual digitizing with higher accuracy.
Databáze: OpenAIRE