Next Generation Geospatial Information: From Digital Image Analysis to SpatioTemporal Databases

With a ground sample distance GSD of less than 2 m per pixel, roads can be broadly described as elongated regions. Map registration of image sequences using linear features more. Abstract This paper proposes an automatic and fast algorithm for registering aerial image sequences to vector map data using linear features as control information.

Our method is based on the extraction of linear features using active Our method is based on the extraction of linear features using active contour models also known as, snakes , followed by the construction of a polygonal template upon which a matching process is applied. To accommodate more robust matching, this work presents both exact and inexact matching schemes for linear features.

Multiple Image Matching more. The majority of efforts though are focused on single stereopairs. This paper addresses the task of simultaneously matching This paper addresses the task of simultaneously matching conjugate windows from multiple overlapping images. After establishing a theoretical understanding of the problem, we introduce several approaches and present the associated mathematical principles.

From Digital Image Analysis to Spatiotemporal Databases, 1st Edition

Using ontologies for integrated geographic information systems more. Abstract Today, there is a huge amount of data gathered about the Earth, not only from new spatial information systems, but also from new and more sophisticated data collection technologies. This scenario leads to a number of interesting This scenario leads to a number of interesting research challenges, such as how to integrate geographic information of different kinds.

An environment for content-based image retrieval from large spatial databases more.

In this paper, we address the problem of content-based image retrieval using queries on shape and topology. We focus on the particularities of image databases encountered in typical topographic applications and present the development of We focus on the particularities of image databases encountered in typical topographic applications and present the development of a spatial data management system that enables such queries.

The query requires user-provided sketches of the shape and spatial configuration of the object or objects which should appear in the images to be retrieved. Uncertainty in image-based change detection more. Abstract Digital aerial imagery provides the perfect medium for capturing geospatial information. The automation of object extraction from digital imagery has received substantial attention over the last few years in the computer vision The automation of object extraction from digital imagery has received substantial attention over the last few years in the computer vision and digital image analysis communities, resulting in significant progress in algorithms and theoretical concepts.

In this paper we introduce a novel approach to object extraction from digital imagery using accuracy information. Accuracy Publication Date: Automated spatiotemporal change detection in digital aerial imagery more. In this paper we present a novel In this paper we present a novel approach for automated change detection which allows us to handle change more efficiently than commonly available approaches. More specifically, we focus on the detection of building boundary changes within a spatiotemporal GIS environment.

Navigating through hierarchical change propagation in spatiotemporal queries more. Abstract In spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. We introduce a dynamic classification scheme and its interaction with a spatiotemporal model, to We introduce a dynamic classification scheme and its interaction with a spatiotemporal model, to describe change propagation in spatiotemporal queries.

Our classification is based on identifying three levels of change, ranging from simple verification of the continuous existence of an entity to the identification of change and the detailed description of this change. Capturing and Modeling Geographic Object Change: A Spatio Temporal Gazetteer Framework more. Abstract A SpatioTemporal Gazetteer as a model to manage change information at the geographic entity instance level is presented. TAe Gazetteer fromework links an image repository, that is the source of change information, to instances of TAe Gazetteer fromework links an image repository, that is the source of change information, to instances of geographic entities, and is change specific to these instances.

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• Next Generation Geospatial Information: From Digital Image Analysis to Spatiotemporal Databases!
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The ability to quickly detect and extract change from image data is an essential component of the model. Photogrammetric engineering and remote sensing Publication Date: Geospatial analysis is becoming increasingly dependent on the integration of data from heterogeneous sources. In this paper, we present an automated, feature-based approach for geometric co-registration using networks of roads In this paper, we present an automated, feature-based approach for geometric co-registration using networks of roads or other similar features.

This approach is based on a graph matching scheme that models networks as graphs with embedded invariant attributes. Automated aerotriangulation using multiple image multipoint matching more. Abstract This paper deals with automating the aerotriangulation procedure using digital image processing methods and images available exclusively in digital format. A conceptual system has been developed and implemented which allows for A conceptual system has been developed and implemented which allows for the automatic determination of exterior orientation parameters and positions of selected points in object space using a minimal number of assumptions.

ABSTRACT Modern geospatial databases are becoming increasingly complex, with multiple types of information eg imagery, maps, vector data, video, and text , huge volumes of data eg numerous satellite images continuously captured in the ABSTRACT Modern geospatial databases are becoming increasingly complex, with multiple types of information eg imagery, maps, vector data, video, and text , huge volumes of data eg numerous satellite images continuously captured in the span of a mission , and distributed storage eg various servers storing different types of information.

Furthermore, spatiotemporal analysis is also becoming more complicated, with analysts making use of diverse datasets to make complex decisions. Automated road extraction from high resolution multispectral imagery more.

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Abstract This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction ACE. This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Using lifelines for spatiotemporal summaries more.

Abstract In this paper we present a general framework for the analysis of spatiotemporal datasets.

Peggy Agouris | George Mason University - www.newyorkethnicfood.com

Our approach makes use of an analysis of spatiotemporal trajectories describing the path in space and time of objects in our dataset. We have developed a variation of self organizing maps to generalize these object lifelines by permitting variable resolutions to represent complex segments compared to smoother ones. On the use of hierarchies and feedback for intelligent video query systems more.

Current query systems for video databases rely heavily on structured schemas and often require user annotation of data.

Next Generation Geospatial Information

These systems need to be made more flexible and accessible to the diverse organizations that utilize them These systems need to be made more flexible and accessible to the diverse organizations that utilize them. By building on current work with lifelines, and incorporating new structures for organizing metadata, we can make great strides towards accomplishing this goal. Differential snakes for change detection in road segments more. Differentiating and modeling multiple moving objects in motion imagery datasets more. Motion imagery datasets capture evolving phenomena like the movement of a car or the progress of a natural disaster at video or quasi-video rates.

With the turn of the century our ability to collect and store geospatial information has increased considerably. This has resulted in ever-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities.

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As these rich sources of data are made available, users rely, now more than ever, on the geospatial data infrastructure. The availability and accessibility of such data, as well as the ability to effectively manage, model, index and query the data is becoming a cornerstone in numerous applications.

Moreover, the ability to formalize and represent data is becoming key to integration and interoperability.

With the introduction of distributed geospatial data infrastructure and the implementation of web-based services, the impact of such issues is becoming even more evident. Please accept our apologies for any inconvenience this may cause. Exclusive web offer for individuals. Next Generation Geospatial Information: Add to Wish List. Toggle navigation Additional Book Information.

Description Table of Contents. Summary With the turn of the century our ability to collect and store geospatial information has increased considerably. Table of Contents Keynote paper Invasive Species: Rama Spatial Cone Tree: Request an e-inspection copy. The Bookshelf application offers access: