An automatic integrated image segmentation, registration and change detection method for water-body extraction using HSR images and GIS data
Automatic water-body extraction from remote sense images is a challenging problem. Using GIS data to update and extract waterbody is an old but active topic. However, automatic registration and change detection of the two data sets often presents difficulties. In this paper, a novel automatic water-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/237/2013/isprsarchives-XL-7-W2-237-2013.pdf |
| Summary: | Automatic water-body extraction from remote sense images is a challenging problem. Using GIS data to update and extract waterbody
is an old but active topic. However, automatic registration and change detection of the two data sets often presents difficulties.
In this paper, a novel automatic water-body extraction method is proposed. The core idea is to integrate image segmentation, image
registration and change detection with GIS data as a whole processing. A new iterative segmentation and registration strategy is
proposed. Here, the so-called visual attention model and level set segmentation algorithm is introduced to find interesting areas with
suspected water-bodies and to obtain initial objects contours. And an improved shape curve similarity (ISCS) is presented to match
image segmentation objects and GIS water-bodies with overall spatial constraints. Furthermore buffer based change detection
algorithm is designed to obtain unchanged water-bodies and SVM classifier is used to verify changed ones. Experiment results show
that proposed method was effective in rapid extraction and change detection of water-bodies. |
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| ISSN: | 1682-1750 2194-9034 |