Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Joint ISPRS/GIS '94 Plenary IV]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: DIGITAL PHOTOGRAMMETRIC SYSTEMS AND THEIR INTEGRATION WITH GIS IAN DOWMAN

Document type:: Monograph

Structure type:: Chapter

isa neck. for a 281). B ints. nuch own 991) r the and d of hing tical ents tion tive sing ired tion ined the ved ated cial rent ally y an ion. heir 1 in be hen Ork 'ate ator the "th der ; in ing Vu, for gle ich Its, ect tly represents buildings. Using approximate values for the orientation parameters in order to increase the efficiency, the system matches the images of the object lines with straight line segments, as features extracted from the image. This is done in several steps for all available control points. The final spatial resection is performed with the straight line segments and evaluated wilh respect to precision and reliability. This method implies the use of features instead of distinct points for orientation. Orientation in photogrammetry in the traditional approach is more or less completely based on distinct points. However, geometric features in object space can also be straight or curved lines and planar or curved surfaces. These features and their projection into image space can be used for image orientation. Especially for digital techniques of image analysis this aspect is essential, because lines are easier to extract than point features by automatic procedures. In order to rigorously accommodate the extraction and correspondence of these features suitable photogrammetric formulation must be performed. Research and practical work based on the correspondence of general geometric features, beside points, is being performed in computer vision and photogrammetry. Haala et al (1992) discusses the use of relational matching to match relationa! descriptions of images and maps. For instance, the top of the seat and the front of the back may be at right angles to each other. The structural descriptions of the images are obtained by thresholding selected channels of colour images and subsequent thinning of the linear structures. The structural descriptions of the landmarks were obtained by digitising maps, but, in principle they could also have been derived from a Geographic Information System (GIS). 33.3 Feature extraction Feature extraction is the subject of intense interest at the moment but except in very well defined areas, there is little prospect of a robust solution to the majority of problems. McKeown, (Dowman ct al 1993) notes the major problem to be the complexity and variability of the scene interpretation task. In other words, it is very difficult to design a system which will cope with a wide variety of common scene characteristics. Two major research directions are apparent. The first is the definition of basic concepts and relationships and the design of tools to fit in with these concepts. The second is the use of multiple integration techniques using several 341 different types of data and knowledge based algorithms with a GIS. The work of Forstner (1992) relies on complex object models, their inter- relationships with their parts and other objects and the variation over time. Molenaar and Fritsch (1991) works along similar lines but has a primary interest in the data within a GIS. The automated extraction of linear features have been attempted by hierarchical texture analysis (Moller-Jensen 1990), and by search techniques like dynamic programming (Nonin 1992, Gunst and Lemmens 1992, Maitre and Wu 1989) requiring initial approximation of the location of some features (or connections); these initial approximations could come from a GIS or from edges extracted with kernel filters. Nonin (1992) has described a system based on work by Maitre and Wu (1989) and operated by ISTAR, designed for the extraction of linear features. The operator identifies the features approximately and a dynamic programming based algorithm determines their exact position. INRIA are working with IGN (France) and CNES on the problem of extraction of roads. Laser scan are also experimenting with an iterative system based on their VTRAK system. The classification and segmentation of land use features no longer encourages per-pixel techniques that do not utilise neighbouring information such as texture. There seems to be greater interest in systems utilising a priori data from digital maps, GIS, (Janssen and Amsterdam 1991, Bolstead and Lillesand 1992), DEMSs and other knowledge sources like human experts (Middelkoop and Janssen 1991). ICC have combined data from a number of sources which include previous classifications, satellite data and topographic maps, the classification is done using neural networks and a 5% improvement on previous results is obtained. The extraction of buildings require high resolution imagery (e.g.. aerial photographs or possibly the high resolution Russian imagery DD5) and is not achievable by conventional per-pixel classification techniques. Murukami and Welch (1992) have attempted an expert system approach, Gulch (1991, 1992) used a rule-base on initially segmented lines and regions, and supported by consistency checks, but Shufelt and McKeown (1990), for the most successful results so far reported, fused three shape-from-shading and one edge-corner techniques, taking advantage of redundant data and also giving consideration to conflicting information

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