Sharing and cooperation in geo-information technology

Aziz, T. Lukman

Bibliographic data

Monograph

Persistent identifier:: 856479470

Author:: Aziz, T. Lukman

Title:: Sharing and cooperation in geo-information technology

Sub title:: ISPRS Commission VI Symposium, April 15 - 17, 1999, Bandung, Indonesia

Scope:: 1 Online-Ressource (130 Seiten)

Year of publication:: 1999

Place of publication:: London

Publisher of the original:: RICS Books

Identifier (digital):: 856479470

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:: WG VI/3: INTERNATIONAL COOPERATION AND TECHNOLOGY TRANSFER

Write comment:: Der Aufsatz "Promotion Of The General Understanding And Improvement Of Public Relations, [...] ist im Original nicht enthalten.

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: SPATIAL AND TEMPORAL DATA HANDLING FOR REMOTE SENSING DATA. R. Venantius Hari Ginardi

Document type:: Monograph

Structure type:: Chapter

71 To manage and retrieve satellite imagery data, image data is considered as a Binary Large Object (BLOB) multimedia type data. Multimedia type data has it own data management and query system. A Standard Database Management Sytem (DBMS) can perform exact matching query (using SQL) from a database tile. A Spatial Database can perform suitability analysis using spatial algebra. An image database has a special query type data retrieval called similarity (Guivada, 1995). 3. REMOTE SENSED DATA MANAGEMENT Two major issues about variation in data management will be discussed. Metadata is a brief description of image content, format and contents that depends on each user. Image data format is a binary data format that allows the storing of multiple layer information. Content Based Information is a way of information handling on image file. QB1C (Query By Image Content) uses color, texture and shape to retrieve image similarity. One content based approach is Entity Relationship Diagram (ER-D) of Picture (C.Yu, 1994). Figure 1 show an example of ER-D of a picture. Figure 1 Example ER-Diagram of Image / Picture Data (C.Yu, 1994) Retrieving Image data using Spatial and Temporal Data has been introduced by Mohammad Nabil (1997), replacing text based metadata with content based information. The model that introduced by Nabil is 2 Dimension Projection Interval Relationship (2D-PIR), which uses a directed graph data structure to represent network of objects and their spatial relationship. 2D-P1R model use a projection of an image into a set of polygon vector that reflects shape and position of each important part (content) of image. The process to create a shape polygon from raster image can be a manual sketch or automatic shape edge detection using Artificial Intelegence technology. From this vector, 2D-PIR model generates a spatial relationship that record relationship among vectors (topology) in one image, started from upper-left side of image. The format of this record is a linked list that records list of objects which has spatial location on the right side of referenced object. Figure 2 show a simple sketch of 3 object from an image data (A, B and C) and its 2D-PIR linked list scheme. Each record in linked list contain polygon code and its spatial relationship code. 3.1 Metadata and file format Current image data handling is organised by metadata or a header file in ASCII text format. Metadata files contain important information about what is stored in an image file, and how the data is stored (file format). Some example of important information that stored in metadata files are : Location Information, Coordinate System and boudaries, Projection Information, Sensor type, Acquisition date and description of image content. Metadata (in the above format) , helps user to make a quick assesment of the image data before actually retrieving the image data file. Its content is depend on user who create the metadata. The interpretation of metadata is also a manual interpretation process, and is followed by manual image data retrieval. 3.2 Data independence Current image data handling varies depending on remote sensing software. Although Remote Sensing software can read many types of Image data format (BIP, BIL, BSQ, or original format of Satellite Imagery or), each software use their own proprietary format to store and manipulate image file. In ER- Mapper, simple Image data management can be implemented using Algorithm file. We can create an algorithm that handle multiple image surface, example of ER-Mapper algorithm is shown in figure 3.1. C A B Figure 3.1 : Temporal data handling using ER-Mapper Algorithm file. 4. TEMPORAL DATA APPROACH FOR REMOTE SENSING APPLICATION The objective of this approach is how to support Remote Sensing Software with a data management tool to record image file location and image file information, including temporal informations to perform historical data query. File location is a file search path of the image file. In local stand-alone storage, this search path may contain a volume code in a directory path; in a network, the file search path may contain the machine name or an IP number or generally the URL. Using an URL to locate

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