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Author: Lizy Abraham
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659303227
Category :
Languages : en
Pages : 88
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Book Description
Automatic and unsupervised detection and extraction of objects from satellite images has been an important research topic in the field of photogrammetry and remote sensing in recent years. Several commercial satellites with high-resolution imaging capability and which can provide multispectral images were launched into different orbits around Earth. High resolution satellite imagery is being increasingly employed for large-scale topographic mapping, and especially for updating Geographic Information System (GIS) databases. Satellite images have inhomogeneous properties that make it hard to develop generic algorithms for object detection. The image quality may vary widely depending on resolution, sensor type, sun elevation and azimuth angles. This book analyzes structural feature extraction from satellite images which exclusively discusses algorithms for roads, buildings and bridges. Buildings may have complicated non-linear structures and can be occluded by other buildings or trees. So, as a supportive tool, detection and elimination of shadows and clouds are also considered. The algorithms developed are simulated and competitive results are obtained for the methods.
Author: Lizy Abraham
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659303227
Category :
Languages : en
Pages : 88
Get Book Here
Book Description
Automatic and unsupervised detection and extraction of objects from satellite images has been an important research topic in the field of photogrammetry and remote sensing in recent years. Several commercial satellites with high-resolution imaging capability and which can provide multispectral images were launched into different orbits around Earth. High resolution satellite imagery is being increasingly employed for large-scale topographic mapping, and especially for updating Geographic Information System (GIS) databases. Satellite images have inhomogeneous properties that make it hard to develop generic algorithms for object detection. The image quality may vary widely depending on resolution, sensor type, sun elevation and azimuth angles. This book analyzes structural feature extraction from satellite images which exclusively discusses algorithms for roads, buildings and bridges. Buildings may have complicated non-linear structures and can be occluded by other buildings or trees. So, as a supportive tool, detection and elimination of shadows and clouds are also considered. The algorithms developed are simulated and competitive results are obtained for the methods.
Author: Armin Gruen
Publisher: Birkhäuser
ISBN: 3034889062
Category : Technology & Engineering
Languages : en
Pages : 398
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Book Description
Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.
Author: Moncef Daoud
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 52
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Book Description
The diversity and the quality of the images provided by satellite imagery is of great interest to remote sensing centres and users in crop management, geology, mineral or oil prospecting, hydrology, oceanography, and mapping. However, data gathering and updating for geography and mapping is one of the most difficult tasks. This study provides a semi-automatic and an automatic extraction of linear structures from satellite imagery. It presents the results of mathematical morphology processing of satellite imagery and of the standard deviation method improved by the use of mathematical morphology functions, with their limitations; a method based on graph theory which is used to detect linear structures, along with the theoretical aspect of the theory; and the results of an automated process suitable for the detection of linear structures from satellite imagery.
Author: E.P. Baltsavias
Publisher: CRC Press
ISBN: 9789058092526
Category : Computers
Languages : en
Pages : 436
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Book Description
This work is a collection of papers from the world's leading research groups in the field of automatic extraction of objects, especially buildings and roads, from aerial and space imagery, including new sensors like SAR and lidar.
Author: R. S. Hawkins
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 70
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Book Description
A new approach to the analysis of satellite imagery is presented. The central part of this approach is an algorithm which compresses information stored in the ordinary six or eight bits per picture element into only one bit. The quality of this compression is demonstrated by examples of its application to high resolution visual imagery. Both visual inspection and rms difference criterion are used for this evaluation. There are four objectives of this report which are: to review the status of processing techniques which remove redundant information, to show the need for redundance reduction in the processing of satellite images, to present the development of an algorithm for reducing it, and to show results obtained by application of the algorithm to visual imagery. Also, comments are made on needed developments of the technique and its potential application to problems of analysis of satellite imagery data. (Author).
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper addresses the problem of semi-automatic extraction of road or hydrographic networks in satellite images. For that purpose, we propose an approach combining concepts arising from mathematical morphology and hydrology. The method exploits both geometrical and topological characteristics of rivers/roads and their tributaries in order to reconstruct the complete networks. It assumes that the images satisfy the following two general assumptions, which are the minimum conditions for a road/river network to be identifiable and are usually verified in low- to mid-resolution satellite images: (i) visual constraint: most pixels composing the network have similar spectral signature that is distinguishable from most of the surrounding areas; (ii) geometric constraint: a line is a region that is relatively long and narrow, compared with other objects in the image. While this approach fully exploits local (roads/rivers are modeled as elongated regions with a smooth spectral signature in the image and a maximum width) and global (they are structured like a tree) characteristics of the networks, further directional information about the image structures is incorporated. Namely, an appropriate anisotropic metric is designed by using both the characteristic features of the target network and the eigen-decomposition of the gradient structure tensor of the image. Following, the geodesic propagation from a given network seed with this metric is combined with hydrological operators for overland flow simulation to extract the paths which contain most line evidence and identify them with the target network.
Author: Armin Gruen
Publisher: Birkhäuser
ISBN: 9783034892438
Category : Technology & Engineering
Languages : en
Pages : 323
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Book Description
Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.
Author: Thong Nhat Tran
Publisher: LAP Lambert Academic Publishing
ISBN: 9783844311709
Category :
Languages : en
Pages : 164
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Book Description
Remote sensing is an advanced technology for supplying information on natural resources and environment. Automatic traditional classifications are pixel based approaches showing problems for extraction of the objects in high resolution satellite images. The problems requires new methods that are better than the traditional ones. Recently, a new method appeared which is called object oriented approach. Therefore, in the investigation the new approach will be studied and compared to the traditional methods for QuickBird image. The text includes three parts. The first part is to show the pixel based approach. The second part is written down the works and output of the object oriented approach and the final part is comparisons and assessments between the both approaches. However, the text is covered by almost the techniques for the satellite image analysis, classifications including unsupervised, supervised and object oriented approach with clear and helpful backgrounds of the techniques and approaches. With the content, the text is very good for large range of users who want to study and apply the remote sensing technology to extract information from satellite images
Author: Mohammad Awrangjeb
Publisher: MDPI
ISBN: 3039283820
Category : Science
Languages : en
Pages : 442
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Book Description
Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D
Author: Vijay Kumar Vohra
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 328
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Book Description
