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Major Research Subjects of Shi, Z. (1998-) Visiting Associate Professor
Further information is available at http://shiba.iis.u-tokyo.ac.jp/shizc/index.htm
- Wavelet Based Image analysis
Wavelet analysis is widely used for signal and image analysis
in a lot of scientific domains because of its time-frequency localization
property. The purpose of this research is to extract "useful"
geo-features like building polygons from images. Edges were extracted
from images with wavelet transform. Edges and corresponding direction
information were then employed for image segmentation.
- 3D Building Extraction for Digital City Construction
This research aims to extract 3D building from stereo photograph
images. The key point of this research is polygon-matching algorithm.
In this research, images are firstly segmented into polygons.
Polygon-based stereo matching is then performed for 3D information
acquisition, which is utilized to differentiate roofs from polygons
on ground. The possibility and effectiveness of proposed methods
have been evaluated with several experiments.
- Object Extraction from High Resolution Satellite Images
1m-level High Resolution Satellite Images (HRSI) are available
for private use now. People are interested in where these images
can be applied. For example, can these images be used for urban
information system construction or updating. In this research,
the properties of HRSI are analyzed firstly. The algorithms related
to building and road extraction were proposed. The possibilities
related to building and road extraction under different conditions
(e.g. building size and density, road type and wide etc.) are
analyzed and discussed.
- GIS Database Revision
The importance of GIS database has been recognized for a long
time. But, it is still very difficult and time-taking a work to
capture the spatial and non-spatial changes. This research focuses
on detection of spatial changes by comparing the existing GIS
database and image data. Two methods were proposed. One is vector-info
based revision method, while the other is raster-info based method.
Experiments show that the combination of two methods can highly
increase the efficiency of geo-change detection.
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