Bulletin of the GSI (Vol.56)

Yuichi UCHIYAMA, Misuzu HONDA, Yoshiyuki MIZUTA, Koji OTSUKA, Takayuki ISHIZEKI, Takaki OKATANI and Eiichi TAMURA


ALOS (Advanced Land Observing Satellite) was launched in January 2006, and this made it possible for the Geographical Survey Institute (GSI) to acquire high-resolution images (2.5 m) from the satellite’s sensor PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping). It is expected that PRISM will be applied to the mapping and revision of 1:25,000-scale topographic maps. In collaboration with the Japan Aerospace Exploration Agency (JAXA), GSI has finished verifying and demonstrating the feasibility of PRISM images for mapping and revision of 1:25,000-scale topographic maps, and has started using the images in its mapping program. This report describes this feasibility study and details the actual applications of PRISM images for topographic mapping.


1. Introduction

2. Specifications of ALOS

3. Verification of ALOS/PRISM imagery for mapping and revision of 1:25,000-scale topographic maps

 3.1 Verification of legibility

 3.2 Verification of positional accuracies

  3.2.1 RPC model

  3.2.2 Verification of orientation accuracies

  3.2.3 Verification of plotting accuracies

4. Demonstration for revision of 1:25,000-scale topographic maps

 4.1 Consideration on orientation method suitable for actual operations

 4.2 Consideration as to work efficiency and performance

5. Applications of ALOS/PRISM images

6. Examples of application for revision of 1:25,000-scale topographic map

 6.1 Example of collection of changes of geographic information

 6.2 Example of revision of 1:25,000-scale topographic map

  6.2.1 Example of map revision using a single ALOS/PRISM image

  6.2.2 Example of revision using ALOS/PRISM stereo image pair

  6.2.3 Notable example I—Map revision for Io To Island

  6.2.4 Notable example II—Mapping of Takeshima

7. Conclusion



Yoshikazu FUKUSHIMA, Katsuto NAKAGAWA, Junichi KISANUKI, Shozo KAJIKAWA, Toshihiro TSUTSUI, Futoshi AKATSUKA, Seiichi OOMIYA, Osamu AKUTSU, Taro UBUKAWA and Syuhei KOJIMA


Global Mapping Forum 2008 was held from June 5-7 at the United Nations University in Tokyo and at Keio Futsubu and Chutobu School in Kanagawa prefecture, jointly organized by the Geographical Survey Institute / Ministry of Land, Infrastructure, Transport and Tourism, the International Steering Committee for Global Mapping and the United Nations University. Three hundred and forty-six participants from 26 countries met in Tokyo to celebrate the near completion of Global Map Version 1, and exchanged their ideas about developments and uses of the Global Map to cope with global environmental problems and other issues. At the closing session of the forum on June 6, the “Global Map Tokyo Declaration” was adopted. The Tokyo Declaration states that the Global Map gives a common understanding to the people involved in environmental issues, and therefore has to be user friendly, that coordination between users and producers is essential and that capacity building is needed.


1. Introduction

2. Global Mapping Forum 2008

 2.1 Outline

 2.2 Program

  2.2.1 Opening Session, Keynote lecture and Special lectures

  2.2.2 Lectures

  2.2.3 Reception

  2.2.4 General Presentation

  2.2.5 Closing Session

  2.2.6 Excursion: Global Mapping School

 2.3 Outcomes of Global Mapping Forum 2008

3. Relevant Events

 3.1 ISCGM15

 3.2 Events related to the G8 summit 2008

4. Conclusion


Hidenori FUJIMURA, Hidekazu MINAMI, Takenori SATO and Takahiro SHIMONO


Elimination of displacement due to map editing inherent in road centerline data of the New Topographic map Information System (NTIS) is implemented. Panchromatic satellite images from ALOS/PRISM are used in the process. Histogram analysis of gray value profiles parallel to the roads is employed. The true-position candidate is selected by supervised classification of histograms using support vector machine (SVM) method. According to the experiments with the Japanese NTIS road centerline database, the proposed method reverses the displacement of approximately 50% of the road features, while a further 20% of the road features are validated as already located at the true position. The proposed method is proved to be useful for German Amtliches Topographisch-Kartographisches Informationssystem (ATKIS) road database. This indicates wider applicability of this method to various geographic regions.


1. Introduction

2. Related Work

3. Data Sources

 3.1 Japanese NTIS and ALOS/PRISM

 3.2 German ATKIS and IKONOS

4. Methods

 4.1 Model Selection

 4.2 Pre-Processing

 4.3 Road Detection by Histogram Classification

 4.4 Adaptation to Database Topology

5. Results and Discussion

 5.1 Japanese NTIS Data

 5.2 German ATKIS Data

6. Conclusions and Future Work