scholarly journals Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information

2005 ◽  
Vol 2005 (14) ◽  
Author(s):  
Xiaoying Jin ◽  
Curt H. Davis
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Spectral Information ◽  
Building Extraction ◽  
High Resolution Satellite Imagery

scholarly journals Hybrid method for building extraction in vegetation-rich urban areas from very high-resolution satellite imagery

2017 ◽  
Vol 11 (03) ◽  
pp. 1
Author(s):  
Ajith S. Jayasekare ◽  
Rohan Wickramasuriya ◽  
Mohammad-Reza Namazi-Rad ◽  
Pascal Perez ◽  
Gaurav Singh
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Hybrid Method ◽  
Urban Areas ◽  
Building Extraction ◽  
High Resolution Satellite Imagery ◽  
Very High

scholarly journals Semi-automated Extraction of Urban Road Networks by Geometric Analysis of IKONOS Imagery

2021 ◽  
Author(s):  
Haibin Dong
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Road Networks ◽  
Prototype System ◽  
Automated Extraction ◽  
Road Extraction ◽  
Complex Scene ◽  
Urban Road ◽  
High Resolution Satellite Imagery

This thesis addresses the topic of semi-automated extraction of urban road networks from high-resolution satellite imagery. Research on this topic is mainly motivated by the use geographic information systems in transportation (GIS-T), and the need for reliable data acquisition methods and to update GIS-T databases. To this end, 1-m spatial resolution IKONOS imagery provides a new data source to collect the spatial models of citywide road networks. In this thesis, a novel methodology of a semi-automated road extraction using high-resolution satellite imagery over urban areas is developed. The main objective of this research is to extract urban road networks from a single IKONOS image. To detect the road features from a highly complex scene, a multiscale analysis of the optimal image was performed. To extract roads and their networks, the knowledge of road geometry is exploited in an interactive environment. The key advantage of the developed method is the full employment of a human and a computer's abilities for fast and precise road extraction from high-resolution satellite imagery. The results show that the presented method enables reliable road extraction over urban areas. The potential applications exemplified in case studies indicate that the high-resolution satellite imagery offers an efficient and precise source for geographic and transportation databases. Based on this research, the limitations and future work for the prototype system are discussed.

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