Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network

• Published in: Journal of the Indian Society of Remote Sensing Vol. 49; no. 3; pp. 569 - 583
• Main Authors: Abdollahi, Abolfazl, Pradhan, Biswajeet, Shukla, Nagesh
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.03.2021; Springer Nature B.V
• Subjects: Accuracy; Artificial neural networks; Earth and Environmental Science; Earth Sciences; Feature extraction; Geographic information systems; High resolution; Image analysis; Image classification; Image resolution; Land cover; Machine learning; Neural networks; Object recognition; Orthophotography; principal component analysis; Principal components analysis; Remote sensing; Remote Sensing/Photogrammetry; Research Article; Roads & highways; Deep learning; Road extraction; CNN; Orthophoto images; Remote sensing; OBIA

Two of the major applications in geospatial information system (GIS) and remote sensing fields are object detection and man-made feature extraction (e.g., road sections) from high-resolution remote sensing imagery. Extracting roads from high-resolution remotely sensed imagery plays a crucial role in...