Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas

2005 ◽  
Vol 71 (2) ◽  
pp. 169-177 ◽  
Author(s):  
Paul M. Dare
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Urban Areas ◽  
High Resolution Satellite Imagery

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.

A HYBRID APPROACH FOR INFORMATION EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGERY

2013 ◽  
Vol 13 (02) ◽  
pp. 1340007 ◽  
Author(s):  
PANKAJ PRATAP SINGH ◽  
R. D. GARG
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Hybrid Methods ◽  
Hybrid Approach ◽  
Contour Detection ◽  
Hybrid Technique ◽  
Derivative Method ◽  
High Resolution Satellite Imagery ◽  
Edge Based

This paper presents a hybrid approach for extraction of information from high resolution satellite imagery and also demonstrates the accuracy achieved by the final extracted information. The hybrid technique comprises of improved marker-controlled watershed transforms and a nonlinear derivative method. It overcomes all the disadvantages of existing region-based and edge-based methods by incorporating aforesaid hybrid methods. It preserves the advantages of multi-resolution and multi-scale gradient approaches. Region-based segmentation also incorporates the watershed technique due to its better efficiency in segmentation. In principle, a proper segmentation can be performed perfectly by watershed technique on incorporating ridges. These ridges express as the object's boundaries according to the property of contour detection. On the other hand, the nonlinear derivative method is used for resolving the discrete edge detection problem. Since it automatically selects the best edge localization, which is very much useful for estimation of gradient selection. The main benefit of univocal edge localization is to provide a better direction estimation of the gradient, which helps in producing a confident edge reference map for synthetic images. The practical merit of this proposed method is to derive an impervious surface from emerging urban areas.

scholarly journals Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications

2018 ◽  
Author(s):  
Myroslava Lesiv ◽  
Linda See ◽  
Juan Carlos Laso Bayas ◽  
Tobias Sturn ◽  
Dmitry Schepaschenko ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Temporal Distribution ◽  
Google Earth ◽  
Arts And Humanities ◽  
The Usa ◽  
High Resolution Satellite Imagery ◽  
Land Cover Maps ◽  
Very High

Abstract. Very high resolution (VHR) satellite imagery from Google Earth and Bing Maps is increasingly being used in a variety of applications from computer sciences to arts and humanities. In the field of remote sensing, this imagery is used to create detailed time-sensitive maps, e.g. for emergency response purposes, or to validate coarser resolution products such as global land cover maps. However, little is known about where VHR satellite imagery exists globally or the dates of the imagery. Here we present a global snapshot of the spatial and temporal distribution of VHR satellite imagery in Google Earth and Bing Maps. The results show an uneven availability globally, with biases in certain areas such as the USA, Europe and India. We also show that the availability of VHR imagery is currently not adequate for monitoring protected areas and deforestation, but is better suited for monitoring changes in cropland or urban areas. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885767.

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
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