This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning.

Dec 10, 2024 · This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning.

"This paper presents a novel approach for automatically extracting main urban roads from high-resolution satellite images using machine learning techniques.

Jun 11, 2024 · The project endeavors to tackle the critical task of urban road extraction from high-resolution satellite imagery by harnessing the power of machine learning ...

Oct 22, 2024 · The project endeavors to tackle the critical task of urban road extraction from high-resolution satellite imagery by harnessingthe power of ...

This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning. First ...

Jan 13, 2006 · This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning.

This paper provides a systematic review of deep learning-based methods for road extraction from remote sensing images

This project aims to uncover the potential of extracting road surfaces from high-resolution satellite imagery. Using the UNet architecture and training on Deep ...

The AdaBoost machine learning technique is used by the author in this research to extract roads from satellite pictures. The. QuickBird satellite image dataset ...