Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images
Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-date building maps have become vital for many applications, including urban mapping and urban expansion analysis. With the development of deep learning, segmenting building footprints from high-resolution remot...
Main Authors: | Samitha Daranagama, Apichon Witayangkurn |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/10/9/606 |
Similar Items
-
Robust Building Extraction for High Spatial Resolution Remote Sensing Images with Self-Attention Network
by: Dengji Zhou, et al.
Published: (2020-12-01) -
Automatic Boundary Extraction for Photovoltaic Plants Using the Deep Learning U-Net Model
by: Andrés Pérez-González, et al.
Published: (2021-07-01) -
Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms
by: Xuran Pan, et al.
Published: (2019-04-01) -
Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction
by: Cheng Liao, et al.
Published: (2021-03-01) -
MFPA-Net: An efficient deep learning network for automatic ground fissures extraction in UAV images of the coal mining area
by: Xiao Jiang, et al.
Published: (2022-11-01)