Object-based classification of Ikonos imagery for mapping large-scale vegetation communities in urban areas
Effective assessment of biodiversity in cities requires detailed vegetation maps. To date,
most remote sensing of urban vegetation has focused on thematically coarse land cover …
most remote sensing of urban vegetation has focused on thematically coarse land cover …
Road extraction based on fuzzy logic and mathematical morphology from pan‐sharpened IKONOS images
A Mohammadzadeh, A Tavakoli… - The photogrammetric …, 2006 - Wiley Online Library
Automatic extraction of geospatial features has been the subject of extensive research in the
past three decades. Here, an approach based on fuzzy logic and mathematical morphology …
past three decades. Here, an approach based on fuzzy logic and mathematical morphology …
A comparative analysis of routes generated by Web Mapping APIs
M Socharoentum, HA Karimi - Cartography and Geographic …, 2015 - Taylor & Francis
Web Mapping APIs (WMAs), such as Google Maps API, are widely used by researchers
across different fields to develop geospatial Web applications. Among maps and map …
across different fields to develop geospatial Web applications. Among maps and map …
Detection and extraction of road networks from high resolution satellite images
This article addresses the problem of road extraction from new high resolution satellite
images. The proposed algorithm is divided in two sequential modules: a topologically …
images. The proposed algorithm is divided in two sequential modules: a topologically …
Narrow-linear and small-area forest disturbance detection and mapping from high spatial resolution imagery
Widespread disturbance has brought a large amount of narrow-linear and small-area
disturbance features (eg, trails, seismic lines, forest roads, well sites, and cut blocks) to forest …
disturbance features (eg, trails, seismic lines, forest roads, well sites, and cut blocks) to forest …
Automatic main road extraction from high resolution satellite imageries by means of particle swarm optimization applied to a fuzzy-based mean calculation approach
A Mohammadzadeh, MJ Valadan Zoej… - Journal of the Indian …, 2009 - Springer
Manual extraction of road network by human operator is an expensive and time-consuming
procedure. Alternatively, automation of the extraction process would be a great …
procedure. Alternatively, automation of the extraction process would be a great …
[PDF][PDF] Multiresolution snakes for urban road extraction from ikonos and quickbird images
This article addresses the problem of street extraction in high resolution images from a
topologically correct graph of the network. The extraction algorithm makes use of specific …
topologically correct graph of the network. The extraction algorithm makes use of specific …
Road feature extraction from high resolution aerial images upon rural regions based on multi-resolution image analysis and Gabor filters
Accurate, detailed and up-to-date road information is of special importance in geo-spatial
databases as it is used in a variety of applications such as vehicle navigation, traffic …
databases as it is used in a variety of applications such as vehicle navigation, traffic …
Object-oriented classification of multi-resolution images for the extraction of narrow linear forest disturbance
Narrow linear forest disturbances (eg seismic cut lines) have been found to have significant
effects on wildlife habitat and biodiversity (eg species richness and abundance). A great …
effects on wildlife habitat and biodiversity (eg species richness and abundance). A great …
Road networks derived from high spatial resolution satellite remote sensing data
R Pe - Remote Sensing of Impervious Surfaces, 2007 - taylorfrancis.com
CONTENTS 11.1 Introduction............................................................................................. 216 11.2
Automatic Extraction of Road Networks: From Linearto Surface Methods …
Automatic Extraction of Road Networks: From Linearto Surface Methods …