Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning

Aniruddha Khatua; Apratim Bhattacharya; Bharath H. Aithal

doi:10.5220/0012625300003696

ScienceGate Book Chapters

JOURNAL ARTICLE

Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning

Aniruddha Khatua Apratim Bhattacharya Bharath H. Aithal

Year: 2024 Pages: 128-135

DOI: 10.5220/0012625300003696

Get Full-Text PDF Get Analytical Report

Keywords:

Georeference Computer science Artificial intelligence Computer vision Extraction (chemistry) Deep learning Remote sensing Feature extraction Geology Geography

Metrics

Cited By

2.25

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning

Metrics

Citation History

Topics

Related Documents

Automated Road Extraction from Remotely Sensed Imagery using ConnectNet

Deep Learning for Building Density Estimation in Remotely Sensed Imagery

A Fast and Reliable Matching Method for Automated Georeferencing of Remotely-Sensed Imagery

Shoreline feature extraction from remotely-sensed imagery

A Comparative Study of Deep Learning Methods for Automated Road Network Extraction from High-Spatial-Resolution Remotely Sensed Imagery