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Proceedings of the Symposium on Progress in Data Processing and Analysis

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Proceedings of the Symposium on Progress in Data Processing and Analysis

Monograph

Persistent identifier:
856470848
Title:
Proceedings of the Symposium on Progress in Data Processing and Analysis
Sub title:
September 8 - 12, 1990, Dresden, GDR
Scope:
1 Online-Ressource (396 Seiten)
Year of publication:
1990
Place of publication:
Berlin
Publisher of the original:
Kammer der Technik
Identifier (digital):
856470848
Illustration:
Illustrationen, Diagramme
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
[S 5 Systems for Reception, Recording, Preprocessing, Archiving and Dissemination of Remotely Sensed Data (WG II / 3)]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
A Fast Storage Unit With Integrated Database Processor for Image Data. Lieckfeldt, P.; Missling, K.-D. ; Neumann, B.
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Proceedings of the Symposium on Progress in Data Processing and Analysis
  • Cover
  • ColorChart
  • Title page
  • Title page
  • Copies of this book may be obtained from Gesellschaft für Photograrmetrie und Fernerkundung at KAMMER DER TECHNIK, [...]
  • Introduction
  • Commission II PROGRESS IN DATA PROCESSING AND ANALYSIS
  • Working Group Chairman
  • CONTENTS
  • [S 1 Special Session]
  • ABOUT THE IMPORTANCE OF COMMISSION II WITHIN THE INTERNATIONAL SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING. Jürgen Pietschner
  • Advances in the Processing and Analysis of Photogrammetric and Remotely Sensed Data. Prof Dr. Klaus Szangolies
  • [S 2 Manufacturers Forum]
  • New Developments in the Processing Software for P-Series Planicomp. Johannes Saile, Oberkochen
  • PHOTOGRAMMETRIC PRODUCTS FROM LEICA. A Stewart Walker
  • [S 3 Analytical Instruments (WG II / 1)]
  • Digital Photogrammetric Applications with the Prime-Wild S9 Analytical Plotter. David Wilkins
  • DICOMAT - The analytical photogrammetric restitution system of Carl Zeiss JENA GmbH. G. Bauer
  • ANALPRET Computer Assisted and Controlled Plotter for Teaching and Interpretation. M. G. Gerencser, Prof. Dr.
  • [S 4 Systems for Analysis of Remotely Sensed Data (WG II / 2)]
  • LOW COST IMAGE PROCESSING ON PERSONAL COMPUTERS: THE MACINTOSH-II BASED DIRIGO SYSTEM. Manfred Ehlers
  • A low-cost image processing system on a 32-bit RISC microcomputer. Mulder N. J., H. R. Kostwinder and L. J. Blesius
  • [S 5 Systems for Reception, Recording, Preprocessing, Archiving and Dissemination of Remotely Sensed Data (WG II / 3)]
  • A Fast Storage Unit With Integrated Database Processor for Image Data. Lieckfeldt, P.; Missling, K.-D. ; Neumann, B.
  • THEMATIC COMPRESSION OF METEOROLOGICAL IMAGE DATA. Hans-Jörg Grundmann, Adolf Günther, Olaf Hellmuth
  • A STANDARD METHOD FOR CREATING SELF-DEFINING DATA STRUCTURES FOR INFORMATION ARCHIVE AND TRANSFER. John A. Johnson
  • LANGUAGE REQUIREMENTS FOR UNDERSTANDING RETRIEVED DATA. Fred C. Billingsley
  • [S 6 Systems and Instrumentation for Synthetic Aperture Radar Processing (WG II / 4)]
  • Infrared and Microwave Radiometry for Mineral Identification and Moisture Determination. Dr. rer. nat. K. Schmidt, Dr. sc. H. Weichelt, Dipl. -Ing. W. Herr, Dipl.-Geologe M. Iffert
  • Some results of microwave measurements during the INTERCOSMOS complex experiments GEOEX, TELEGEO and CARIBE. Horst Weichelt
  • [S 7 Acquisition and Use of Space Photographic Data (IC-WG I / II)]
  • Cartographic Potential of Space Images. Karsten Jacobsen
  • Multispectral photocamera MK-4. Dr. Yu. KIENKO, Dr. I. NENASHEV, Yu. BELOUS
  • THE COMPOSITING DEVICES FOR PHOTOIMAGES OF MK-4 CAMERA AND PREPARATION OF PHOTOMOSAICS AND PHOTOSKETCHES ON THESE DEVICES. Dr. Yu. KIENKO, Dr. V. KISELEV, Dr . Yu. ORLOV
  • NEW TOPOGRAPHIC AIR SURVEY CAMERA WITH FORWARD MOTION COMPENSATION AFA-TK-10/18. Afremov V. G., Afanasiev I. Yu., Babashkin N. M, llin V. B., Nekhin S. S.
  • On QUALITY IMPROVEMENT OF AIRBORNE REMOTE SENSING DATA AND THEIR PROCESSING MEETING THE USERS'DEMANDS. FRANZ PLISCHKE, SUSANN HEENE
  • TECHNIQUE FOR DETERMINING BRIGHTNESS AND SPATIAL-FREQUENCY CHARACTERISTICS OF TERRAIN FROM AEROSPACE SURVEY MATERIALS. Dr. L. M. Matiyasevich, T. I. Mikheikina, B. V. Svechnikov
  • PHOTOMETRICAL METHOD OP MAKING THE MAPS OP OPTICALLY-UNIPORM TERRAIN RELIEF. Dr. Kiselev V. V., Dr. Mamnitsky V. I., Dr. Matiyasevich L. M
  • JOINT USE OF SPECTROZONAL AND RADIO-THERMAL IMAGES OF MICROWAVE RANGE IN PROBLEMS OF INTERPRETATION OF AEROSPACE SURVEY RESULTS. Dr. E. Maslovsky, Dr. V. Troitsky, Dr. Yu. Shestopalov
  • REMOTE SENSING OF ECOLOGICAL SITUATIONS. Dr. V. A. SUCHTCHENYA
  • Application of cosmic photographs for inventory and man-making of natural resources. by Arkhipov V. I.
  • COMPOSITION CODING OF REMOTE SENSING DATA FOR DEVELOPING GEOINFORMATION TECHNOLOGIES OF OF RESEARCH OF NATURAL ENVIRONMENT. N. F. AFANASYEV.
  • Efficient Technologies for Geological Projects and Nature Protection Studies Using Aero/Space Photography Data in USSR. By A. V. Pertsov and S. G. Slutskaya
  • DISTINGUISHABLE DETAILS IN AIR PHOTOS. Werner Schubert
  • PROGRESS IN SPACE PHOTOGRAPHY. KARL-HEINZ MAREK
  • [S 8 Design and Algorithmic Aspects of Digital Photogrammetric Systems]
  • PROGRESS AND POTENTIAL OF DIGITAL PHOTOGRAMMETRIC WORKSTATIONS. IAN DOWMAN
  • DIPS II - Turning a Standard Computer Workstation into a Digital Photogrammetric Station. A. Gruen, H.A. Beyer
  • CONSEQUENCES OF THE PHOTOGRAMMETRICAL VIEW OF SOLVING SPECIAL TASKS IN DIGITAL PHOTOGRAMMETRY WITH SERIAL COMPUTERS. DR. ERHARD PROSS
  • An Advanced Digital Stereophotogrammetric System (ADSS)- Current Developments at the Technical University of Berlin. Gerhard Koenig, Wolfgang Nickel, Juergen Storl
  • Low Cost Digital Photogrammetric System for Education and Training "BIRDMAN". Sunji MURAI and Kesami KOIDO
  • Off-Line and On-Line Applications of Macro Photogrammetry. Karsten Jacobsen
  • DIGITAL PHOTOGRAMMETRIC WORKSTATIONS. Peter Lohmann , Christoph Lüken, Gustav Picht
  • INTEGRATION OF THE NOS CAMERA CALIBRATION SYSTEM INTO THE IDPF. Roop C. Malhotra
  • ANALYTICAL VERSUS DIGITAL PHOTOGRAMMETRIC TECHNIQUES AND SYSTEMS. BRANKO MAKAROVIC
  • PHOTOGRAMMETRIC OPEN SYSTEMS. Atef A. Elassal
  • ANALOG OR DIGITAL MAPPING FROM AERIAL PHOTOGRAPHS? A Contribution to the Conception of Digital Mapping Systems. O. Kölbl
  • DESCRIBING DIGITAL PHOTOGRAMMETRY BY FUNCTIONAL ANALYTICAL METHODS. DR. ERHARD PROSS
  • Modular Concept of an Airborne System for Collecting, Processing and Analysis of Remotely Sensed Data. Bach E., Nopirakowski J., Oertel D.
  • Experimental Airborne Remote Sensing with Infrared-Scanner and Panchromatic CCD Area Array Camera (Camcorder). Weng, A.; Dr. Nopirakowski, J.; Ehrenberg, M.; Georgino, P.; Radtke, B.; Dr. Reulke, R.
  • [S 9 Additional Paper]
  • LEAST SQUARES POLYNOMIAL SURFACE FITTING WITH OVERLAPPING DATA. W. P. SEGU
  • Report to Commission II
  • ISPRS Intercommission Working Group II/III "DESIGN AND ALGORITHMIC ASPECTS OF DIGITAL PHOTOGRAMMETRIC SYSTEMS" Report to Commission II. H. Ebner, I. Dowman, C. Heipke
  • Working Group II/l Analytical Instrument Activities. WORKING GROUP MISSION. prepared by Morris L McKenzie
  • AUTHORS LIST
  • Cover

Full text

A true IDB Management System 
(IDBMS) is an IDB and a collec 
tion of tools to handle (store, de 
scribe, retrieve ...) these images. 
(see fig. 3). It is able to discern 
two qualitative IDBMS levels. 
At the lower level the images are 
managed by annotations 
(e.g. satellite, date, processing 
state). This information might be 
managed by conventional 
DBMS which are available on 
the market in a great number. 
Such low level IDBMS fulfil the 
functional requirements for 
many applications using image 
like information but the speed of 
information retrieval is not al 
ways satisfactory. In order to 
meet the efficency of the de 
scribed storage unit a specialized 
hardware was developed which performs searching operations in DBMS’s very effi 
ciently (see Chapter 3.1.). 
Higher level IDBMS manage semantic image information. The geometric structure of 
the objects in an image and their relations (e.g. neighbourhood) are stored in such an 
IDBMS (see fig. 4). An overview on this rather complex task may be found in /3/; 
advanced applications are explained in /3,4/. Research activities are concentrated on 
the introduction of background knowledge in the process of scene understanding and 
on developing adapted query language (Image Query Languages). At present we do 
some work in testing description methods well suited for non- exact object matching. 
3.1. Main Memory DBMS with hardware accelerator 
A relational DBMS was concepted based on the hardware architecture shown in fig. 5. 
A detailed description can be found in /5/. 
Due to the intended applications of the whole system the DBMS was concepted as an 
Main Memory DBMS,i.e. that all annotations are kept in the main memory during the 
working phase of the system. The external memory serves only as a backup medium. 
Main advantages are the fast data access and the independence of physical data dis 
tribution from the user access behaviour. 
The most important algebraic operator in a relational DBMS is SELECT. Presumed 
the data in a MMDBMS are organized in a sequential manner it is possible to con 
struct a rather simple but very efficient hardware to perform the SELECT operator. A 
simulation shows that such a functionally adapted hardware is faster by a factor 2-20 
compared to a pure software solution using well known index structures (this state 
ment must be not true for hash support) /6/. 
Data 
Structure 
Definition 
—I— 
Object 
Coding 
1-. 
Prototype 
Objects 
*|^ De; 
Scene 
Description 
Data Object 
Management 
Image to be 
analyzed 
Object 
Matching 
Segmented 
*IRaster Image 
Raster Image 
Coding 
Image 
Feature 
Selection 
Image Object 
Selection 
Feature + 
Object 
Management 
User Interface 
Fig. 4: IDBMS schema using semantic features
	        

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