A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images
Urban planning depends strongly on information extracted from high-resolution satellite images such as buildings and roads features. Nowadays, most of the available extraction techniques and methods are supervised, and they require intensive labor work to clean irrelevant features and to correct sha...
Saved in:
Main Author: | Mohamad M. Awad |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Journal of Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/243021 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Morphology of Ordered Block Copolymer Patterns as Probed by High Resolution Imaging
by: D Borah, et al.
Published: (2014-09-01) -
Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation
by: Minkyung Chung, et al.
Published: (2025-01-01) -
Retracted: Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
by: Journal of Mathematics
Published: (2023-01-01) -
High-Resolution Satellite Reveals the Methane Emissions from China’s Coal Mines
by: Xingyu Li, et al.
Published: (2025-01-01) -
Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network
by: Zhe Zhao, et al.
Published: (2025-01-01)