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:: [Tuesday, June 7, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session E-1 Intercommission WG II/III- Digital Photogrammetric Systems - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: SEMI-AUTOMATIC MONOPLOTTING ON A DIGITAL PHOTOGRAMMETRIC STATION Peggy Agouris, Dirk Stallmann, Haihong Li

Document type:: Monograph

Structure type:: Chapter

SEMI-AUTOMATIC MONOPLOTTING ON A DIGITAL PHOTOGRAMMETRIC STATION Peggy Agouris, Dirk Stallmann, Haihong Li Institute of Geodesy & Photogrammetry Swiss Federal Institute of Technology ETH - Hoenggerberg CH-8093 Zurich, Switzerland Ph.: +41-1-6333054, Fax: +41-1-3720438 e-mail: peggy or dirk or li @p.igp.ethz.ch ISPRS Commission ll, Intercommission II/III KEY WORDS: Digital Photogrammetry, GIS, Automation, Monoplotting, Object Extraction, Matching ABSTRACT This paper deals with the subject of semi-automatic object extraction from digital imagery in monoscopic mode. Addressed topics include conceptual, algorithmic and implementational issues, performed experiments, as well as discussion of encountered problems and adopted solutions. In particular, we present the algorithm and ob- tained experimental results for the semi-automatic extraction of road networks from SPOT imagery using wave- let-transformed images. In addition, for larger scale images and various object types, we present the comparison of two methods for object extraction we have applied and tested, namely least squares template matching, and active contour models (Snakes). In the former case, edge locations are precisely identified based on local gray value variations, while in the latter case global continuity constraints are enforced to pro- duce meaningful results. Finally, we propose a novel algorithmic approach for semi-automatic object outline detection which combines the strong points of the previous two methods. Least squares matching provides again the mathematical foundation while at the same time global continuity is enforced through the introduction of object-type-dependent shape constraints which ensure geometrically coherent results. 1. INTRODUCTION into two broad categories [Fischler et al., 1981]: s : = Q type | operators, offering high reliability in prop- The objective of semi-automatic monoplotting is the erly identifying classes of objects without particu- extraction of objects from digital imagery in mono- larly dealing with precise outline determination, scopic mode. Object extraction from images consists and of the following phases: Q identification of an object within an image, which involves image interpretation, understanding and object classification, and mations of the object location are available. Q tracking the object by precisely determining its In an effort to optimize both measures, operators from outline. these two classes can be combined in complex com- putational strategies for object extraction [Suetens et Q type Il operators, which do not aim at reliable identification, but instead offer high precision in de- tecting outlines, provided that adequate approxi- It is well known that there exist no global edge detec- tors which could be applied to a digital image function to both identify and track edges with sufficient suc- cess. Instead, one can witness a trade-off between reliability, which expresses a measure of the qualita- tive accuracy associated with identification, and pre- cision which expresses a measure of the geometric accuracy associated with tracking. According to these measures, one can classify existing operators al., 1992]. In this paper we present several methods which can constitute the automated object extraction core within a broader digital photogrammetric semi- automatic monoplotting strategy. 2. SEMI-AUTOMATIC MONOPLOTTING In semi-automatic monoplotting, the identification 146 task of a typ single image ule performs More specifi tify an object age, select t object belon, rough appro this approxin screen node for curviline: quently, thes necessary aj edge positior objects withi cisely positic according to tor contributic vided for suc to the actual Judging fron grammetric c extraction, si broader obje mal. Human sly and almo: optimizes acl burden. At th outline posit shows to be prone part of formed auton In the next se foundation ai lowing semi-: Q road exti imagery, Q the use outline exti O least squ Q globally : ing. 3. ROAD TR/ The semi-au road network let decompos feature extra gramming (Fi Wallis filter | available im:

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