Generalization at the Institut Cartogràfic i Geològic de Catalunya. Blanca Baella, Maria Pla, Julià Talaya December 2015

Transcription

1 Generalization at the Institut Cartogràfic i Geològic de Catalunya Blanca Baella, Maria Pla, Julià Talaya December 2015

2 2 Content Current ICGC generalization workflows: Products Data models Current tasks on generalization workflows Summary

3 3 ICGC generalization workflows Products

4 4 ICGC topographic databases DATABASES CT-1M MAP 1M MAPS 3 D BT-5M MAP 5M MAP 10M BT-25M MAP 25M BT-50M MAP 50M 2 D BT-250M MAP 100M MAP 250M Yellow Blue Orange Products compiled Products derived automatically, without manual editing Products derived applying generalization

5 5 ICGC topographic databases DATABASES CT-1M MAP 1M MAPS 3 D BT-5M MAP 5M MAP 10M BT-25M MAP 25M BT-50M MAP 50M 2 D BT-250M MAP 100M MAP 250M Yellow Blue Orange Products compiled Products derived automatically, without manual editing Products derived applying generalization

6 6 ICGC topographic databases DATABASES CT-1M MAP 1M MAPS 3 D BT-5M MAP 5M MAP 10M BT-25M MAP 25M BT-50M MAP 50M 2 D BT-250M MAP 100M MAP 250M Yellow Blue Orange Products compiled Products derived automatically, without manual editing Products derived applying generalization

7 Topographic database at 1:5 000 DATABASES CT-1M BT-5M MAPS 7 MAP 1M MAP 5M MAP 10M Data sources: Photogrammetric data capture (DMC) Additional data from other DBs (map names) BT-25M BT-50M BT-250M MAP 25M MAP 50M MAP 100M MAP 250M 3 D Accuracy: 1m X,Y / 1,5m H Covering Catalunya: km2 Updating cycle: 5 years over all the country More frequently over the most dynamic areas

8 Topographic map at 1: DATABASES CT-1M BT-5M MAPS 8 MAP 1M MAP 5M MAP 10M Data sources: Semiautomatic generalization from the BT-5M BT-25M BT-50M BT-250M MAP 25M MAP 50M MAP 100M MAP 250M 2 D Just a map, not a database Covering Catalunya: km2 Updating cycle: 5 years over all the country More frequently over the most dynamic areas

9 9 Topographic map at 1:10 000: updating

10 Topographic database at 1: scale DATABASES CT-1M BT-5M MAPS 10 MAP 1M MAP 5M MAP 10M Data sources for the first version: Automatic and manual generalization from the BT-5M Updated by photogrammetry using recent flights Additional data from other databases BT-25M BT-50M BT-250M MAP 25M MAP 50M MAP 100M MAP 250M 3 D Accuracy: 2,5m X,Y / 2,5m H Covering Catalunya: km2 Updating cycle: 2 years over all the country More frequently over the most dynamic areas

11 11 Topographic database at 1:25 000: updating

12 12 ICGC generalization workflows Data models

13 13 Topographic data models Main characteristics of the current ICGC topographic datamodels: And: Unique and persistent ID Life cycle attributes Metadata at element level (source and quality) Richer classification Seamless Implementation in a photogrammetric GIS environment (ORACLE, GeoMedia) Incremental updating deliveries New data exploitations

14 14 Topographic data models Data models are designed taking into account further generalization processes: Object semantics is maintained across the different scales of the existing ICGC databases: Hierarchy in the classification to facilitate the selection and aggregation Centerlines of roads and polygons of hydrography to facilitate the collapse from area to line Guidelines for generalization are included in the dictionary.

15 15 Current tasks

16 16 Current tasks New user requirements are difficult and costly to achieve with current workflows: Huge demand of updated information Homogeneous information across all the levels of detail High pressure to obtain a wide range of derived products for visualization and other applications in internet and mobile devices. For achieving these requirements, two solutions are under study: The implementation of a MRDB that integrates data from all the topographic databases. The implementation of a completely automatic generalization workflow from the master topographic database.

17 17 Current tasks: ICGC MRDB implementation The implementation of a MRDB could be a solution to fulfill these requirements: But: Better management of the updating processes. Optimization of the generation of derived products using generalization. Current quality in all the levels of detail will be preserved. Lack of commercial tools for deriving and maintaining the MRDB. Different updating cycle of each topographic database.

18 18 Current tasks: ICGC MRDB implementation Two related databases have been considered in the first design of the ICGC Topographic MRDB: Topographic Database at 1:5 000 (BT-5M) Topographic Database at 1: (BT-25M)

19 19 Current tasks: ICGC MRDB implementation DATABASES CT-1M MAP 1M MAPS 3 D BT-5M MAP 5M MAP 10M BT-25M MAP 25M BT-50M MAP 50M 2 D BT-250M MAP 100M MAP 250M Yellow Blue Orange Products compiled Products derived automatically, without manual editing Products derived applying generalization

20 20 Current tasks: ICGC MRDB implementation The implementation has been organized in the following steps: Design of the MRDB conceptual model. Setting up of the data model. Migration of the existing data. Migration of the photogrammetric data capture system from CAD to GIS. First MRDB link establishment. Integration of generalization tools into the system. Tools development for the MRDB relationships management.

21 21 Current tasks: ICGC MRDB implementation Multiple levels of detail: 1:5.000 and 1: Similar schemas for each resolution Schema One single schema with linked data: one feature belongs to one single resolution and has a link with one, or more, features of the other scale. 1:5000 (1m) 1:25000 (2,5m)

22 22 GIS photogrammetric data capture system

23 23 GIS photogrammetric data capture system The ICGC Geomedia based data capture solution is a 3D data complete production system. Taking Oracle Spatial as DBMS, Geomedia as base GIS and ISSG as photogrammetric software, the ICGC has developed and implemented a system efficient, accurate and adapted for 3D data capture. The system extends the functionalities of Geomedia and ISSG, solves the 3D shortcommings of Geomedia and Oracle Spatial and reduces the element symbolization problems of ISSG. Takes advantage of 30 years experience of ICGC developing and mapping teams.

24 24 GIS photogrammetric data capture system

25 25 Current tasks: ICGC MRDB implementation First MRDB link establishment: Commercial conflation tools from Esri are being tested for performing the feature matching (FM) Results suggest that first link establishment can be highly automated and time for post-processing will be reasonable.

26 26 Current tasks: ICGC MRDB implementation Task Design of the MRDB model Programming data capture tools Training on data capture tools Data capture implementation BT-25M Data capture implementation BT-5M First MRDB link establishment Programming MRDB tools Training on MRDB tools MRDB implementation Analysis of the results on MRDB Status Complete Complete Complete Complete Complete In progress

27 27 Current tasks: automatic generalization workflow A completely automatic generalization workflow could be an alternative solution: But: Faster than the implementation of the MRDB. Fulfilling most of the user requirements. By the moment automatic generalization does not allow to achieve the cartographic quality that have the current products for all the different levels of detail.

28 28 Current tasks: automatic generalization workflow The solution: But: Must be completely automatic. Should be mainly based on current commercial tools. It could be enriched adding our own algorithms to refine the results. We know that the limitations in generalization software: Could introduce some changes in the design of the derived products and Probably the cartographic quality will decrease.

29 29 Summary Main requirements are to provide updated information and homogeneous data across all the levels of detail. These requirements have forced ICGC to rethink its production workflows. Two solutions are under study: Productivity Cartographic quality MRDB - + Fully automatic generalization workflow + -

30 30 Summary MRDB solution and fully automatic generalization workflow solution are not exclusive: Fully automatic generalization workflow solution could be used for obtaining Xpress products. MRDB solution could be used for high quality products. ICGC has adopted a similar approach in the orthophoto production: Fully automatic orthorectification available in a short time after flight. High quality orthophoto product available some months later.

31 31 Thank you for your attention! Institut Cartogràfic i Geològic de Catalunya Parc de Montjuïc, E Barcelona 41º22 12 N, 2º09 20 E (ETRS89) icgc@icgc.cat twitter.com/icgcat facebook.com/icgcat Tel. (+34) Fax (+34)