Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture

Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture

Building extraction with high accuracy using semantic segmentation from high-resolution remotely sensed imagery has a wide range of applications like urban planning, updating of geospatial database, and disaster management. However, automatic building extraction with non-noisy segmentation map and o...

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Bibliographic Details
Main Authors: Abolfazl Abdollahi, Biswajeet Pradhan, Shilpa Gite, Abdullah Alamri
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Building extraction
GAN
remote sensing
SegNet
Online Access:https://ieeexplore.ieee.org/document/9260150/

Internet

https://ieeexplore.ieee.org/document/9260150/

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