XVIIIth Congress: XVIIIth Congress

Kraus, Karl; Waldhäusl, Peter

Bibliographic data

Multivolume work

Persistent identifier:: 1667435949

Title:: XVIIIth Congress

Sub title:: Vienna, Austria 1996

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667435949

Language:: English

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1667438379

Title:: XVIIIth Congress

Scope:: 449 Seiten

Year of publication:: 1996

Place of publication:: Vienna

Publisher of the original:: Austrian Society of Surveying and Geoinformation

Identifier (digital):: 1667438379

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(31,B2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist anhand des Copyrightjahrs ermittelt.

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

Editor:: Kraus, Karl; Waldhäusl, Peter

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 18., 1996, Wien; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis

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:: Volume

Collection:: Earth sciences

Chapter

Title:: A CONCEPT FOR A NETWORK-BASED DISTRIBUTED IMAGE DATA ARCHIVE Herwig Rehatschek,[...]

Document type:: Multivolume work

Structure type:: Chapter

'odesy. squares Matrix [ueller, rithms: Least "lando. uorela, stration ’RS 29 ions in Royal Im. ISPRS Im. PERS algebra 5-3/3. m: An nmetry. digital algebra. im on er 25. tomated ithm of 19-465. Ly Least for the 61-72 Three- Is using -1389. (imation 38. A CONCEPT FOR A NETWORK-BASED DISTRIBUTED IMAGE DATA ARCHIVE Herwig Rehatschek, Institute for Computer Graphics, University of Technology Graz, Austria E-mail: herwig@icg.tu-graz.ac.at WWW: http://www.icg.tu-graz.ac.at/-herwig/basicinformation.html Commission II, Working Group 5 KEY WORDS: Design, Distribution, System, Management, Archiving, Spatial, Database, Networks ABSTRACT: Large image archives offering data from planetary missions and the Earth are being created. The searching for data about points and regions of interest and the request for a specific coverage remain tedious processes. Retrieved full resolution image data stored on a CD or a tape usually exceed the area of interest by far. The proposed GDSS (Graz Distributed Server System) therefore holds quicklooks of all available images and surface maps at different levels of detail representing the planet’s surfaces, and supports the search for full resolution data of just the area of interest. GDSS provides remote access for searching, querying and image processing facilities via a high-speed ATM backbone. We present a snapshot of the system design and the expected results of the GDSS project: a functional prototype including software, a network testbed, a series of data experiments and some simulation results. Data man- agement concepts and storage methods are being illustrated by means of the NASA Magellan data set of planet Venus although we expect GDSS to also be applicable to Earth based remote sensing data. 1. INTRODUCTION An increasing number of Earth observation and planetary satel- lite missions have spawned large image archives. The search for specific image data by means of additional search criteria such as mission cycle, time and/or date, geographic location, type of surface features remains a tedious process due to the current need of either searching through low quality quicklooks of poster photo-prints or of dealing with large volumes of source data that are not organized by the preferred search criteria. That is why determination of the exact image content is difficult. Data are often stored in a format that usually exceeds an area of interest by far. These experiences are shared by a wide scientific community and are exemplified in this paper by the image data set of planet Venus which was produced by NASA's Magellan spacecraft. NASA's Planetary Data System (PDS) (NASA PDS, 1995) offers access to the entire image data set from Magellan. We report on ideas and results in organizing this data set to ease the access from remote sites, and in the process also solve issues of data-specific processing software as well as access to specific remote computing resources. This work results from the European Magellan. Data Node (EMDN, 1995) which is organized as part of NASA's PDS under an agreement between NASA, the Austrian Space Agency and the Institute for Computer Graphics at the University of Technology, Graz. During the Magellan mission to Venus about 9594 of the planet's surface was mapped by the spacecraft's sensors. The data set consists of SAR images (>5200 orbits) with a total volume of about 500 GByte. The raw images are strips which are about 350x220000 pixels in size at a resolution of about 75 meters/pixel. The orbits (polar, north to south) are grouped into three “cycles defined by the different look angles of the SAR sensor. Images from cycles 1 and 3 can be used for stereo processing because of their different look angles, both looking at the surface from the same side. Cycle 2 was recorded from the opposite side. To get images of rectangular shape, Full resolution Mosaic Image Data Records (F-MIDR) have been created. These are 7000x8000 pixels in size and much more usable than the F-BIDRs in terms of searching, cropping, Storing and visually interpreting. The F-MIDRs were only 327 created for about 15% of the surface. The entire surface is covered by compressed mosaics (C-MIDR) at reduced resolutions. The desire to offer “Full” resolution, yet ease of visual interpretation, has led to a project at US-Geological Survey (USGS) to create a full resolution total coverage of mosaic images (F-MAPS) in 1995 (Walcher, 1995). However, this is not supporting the idea of retrieving all images of a location of interest, and therefore exploiting the multiplicity of images. We propose that not only searching, but also processing and retrieving image data like Magellan's, be based on the Graz Distributed Server System (GDSS). It is designed for giving a geographically dispersed scientific com- munity easy and unified access to all planetary data, source image processing capabilities and computing tools. The basic GDSS ideas are not restricted to the Magellan data set of Venus. Data management concepts, access to. parallel computing resources and network design should be applicable to Earth based remote sensing data. 2. RELATED WORK Basic differences exist in handling Earth and planetary data. Search and retrieval systems on Earth-based image data can take advantage of many named features, and just about one third of the surface is covered with land. These advantages do not exist on a planet like Venus. Therefore a raster image oriented map has to be used instead of a vector oriented one. Earth observation with its large spatially organized data has spawned various systems for image cataloging and remote retrieval. Examples include GISIS (Graphical Intelligent Satellite Information System) (Lotz-Iwen, 1995) and VISTA (Visual Interface for Space and Terrestrial Analysis) (Snyder, 1994), which are designed to give remote access to various remote sensing data using a special purpose client software. GISIS supports the user with an intuitive GUI and a detailed zoomable 2D vector map of the Earth, VISTA additionally supports a 3D vector representation of Earth. The European Union's CEO (Center of Earth Observation) was initiated to develop a European wide support of multi mission data catalogues. A first spin off is the so called European Wide Service Exchange (EWSE, 1995). It has some special new features which allow registered users to search, input, update International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996

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